Mercurial > repos > bgruening > sklearn_sample_generator

annotate keras_macros.xml @ 39:e6f4d3d9058c draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
author bgruening
date Fri, 27 May 2022 12:36:10 +0000
parents df579b31311d
children 7f8fa89929e0
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1 <macros>
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2 <token name="@KERAS_VERSION@">0.5.0</token>
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4 <xml name="macro_stdio">
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5 <stdio>
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6 <exit_code range="1:" level="fatal" description="Error occurred. Please check Tool Standard Error"/>
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7 </stdio>
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8 </xml>
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10 <xml name="keras_optimizer_common" token_lr="0.01">
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11 <section name="optimizer_options" title="Optimizer Advanced Options" expanded="false">
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12 <param argument="lr" type="float" value="@LR@" optional="true" label="Learning rate" help="float >= 0"/>
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13 <yield/>
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14 <!--param argument="clipnorm" type="float" value="" optional="true" label="clipnorm" help="float >= 0"/-->
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15 <!--param argument="clipvalue" type="float" value="" optional="true" label="clipvalue" help="float >= 0"/-->
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16 </section>
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17 </xml>
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19 <xml name="keras_optimizer_common_more" token_lr="0.001">
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20 <expand macro="keras_optimizer_common" lr="@LR@">
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21 <!--param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/>-->
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22 <param argument="decay" type="float" value="0" optional="true" label="decay" help="Learning rate decay over each update."/>
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23 <yield/>
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24 </expand>
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25 </xml>
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26
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27 <xml name="keras_activations" token_none="true" token_tanh="false">
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28 <param argument="activation" type="select" label="Activation function">
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29 <option value="linear" selected="@NONE@">None / linear (default)</option>
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30 <option value="softmax">softmax</option>
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31 <option value="elu">elu</option>
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32 <option value="selu">selu</option>
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33 <option value="softplus">softplus</option>
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34 <option value="softsign">softsign</option>
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35 <option value="relu">relu</option>
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36 <option value="tanh" selected="@TANH@">tanh</option>
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37 <option value="sigmoid">sigmoid</option>
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38 <option value="hard_sigmoid">hard_sigmoid</option>
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39 <option value="exponential">exponential</option>
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40 </param>
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41 </xml>
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42
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43 <xml name="keras_initializers" token_argument="kernel_initializer" token_default_glorot_uniform="false" token_default_zeros="false" token_default_random_uniform="false" token_default_ones="false">
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44 <param argument="@ARGUMENT@" type="select" label="@ARGUMENT@">
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45 <option value="zeros" selected="@DEFAULT_ZEROS@">zero / zeros / Zeros</option>
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46 <option value="ones" selected="@DEFAULT_ONES@">one / ones / Ones</option>
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47 <option value="constant">constant / Constant</option>
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48 <option value="random_normal">normal / random_normal / RandomNormal</option>
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49 <option value="random_uniform" selected="@DEFAULT_RANDOM_UNIFORM@">uniform / random_uniform / RandomUniform</option>
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50 <option value="truncated_normal">truncated_normal / TruncatedNormal</option>
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51 <option value="orthogonal">orthogonal / Orthogonal</option>
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52 <option value="identity">identity / Identity</option>
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53 <option value="glorot_normal">glorot_normal</option>
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54 <option value="glorot_uniform" selected="@DEFAULT_GLOROT_UNIFORM@">glorot_uniform</option>
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55 <option value="he_normal">he_normal</option>
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56 <option value="he_uniform">he_uniform</option>
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57 <option value="lecun_normal">lecun_normal</option>
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58 <option value="lecun_uniform">lecun_uniform</option>
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59 </param>
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60 </xml>
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62 <xml name="keras_regularizers" token_argument="kernel_regularizer">
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63 <param argument="@ARGUMENT@" type="text" value="(0. , 0.)" optional="true" label="@ARGUMENT@"
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64 help="(l1, l2). l1/l2: float; L1/l2 regularization factor. (0., 0.) is equivalent to `None`"/>
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65 </xml>
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66
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67 <xml name="keras_constraints_options">
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68 <section name="constraint_options" title="Constraint Advanced Options" expanded="false">
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69 <yield/>
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70 <param argument="axis" type="text" value="0" help="Integer or list of integers. axis along which to calculate weight norms">
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71 <sanitizer>
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72 <valid initial="default">
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73 <add value="["/>
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74 <add value="]"/>
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75 </valid>
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76 </sanitizer>
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77 </param>
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78 </section>
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79 </xml>
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80
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81 <xml name="keras_constraints" token_argument="kernel_constraint">
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82 <conditional name="@ARGUMENT@">
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83 <param argument="constraint_type" type="select" label="@ARGUMENT@">
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84 <option value="None" selected="true">None (default)</option>
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85 <option value="MaxNorm">maxnorm / max_norm / MaxNorm</option>
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86 <option value="NonNeg">nonneg / non_neg / NonNeg</option>
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87 <option value="UnitNorm">unitnorm / unit_norm / UnitNorm</option>
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88 <option value="MinMaxNorm">min_max_norm / MinMaxNorm</option>
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89 </param>
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90 <when value="None"/>
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91 <when value="MaxNorm">
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92 <expand macro="keras_constraints_options">
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93 <param argument="max_value" type="float" value="2" help="the maximum norm for the incoming weights."/>
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94 </expand>
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95 </when>
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96 <when value="NonNeg">
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97 </when>
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98 <when value="UnitNorm">
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99 <expand macro="keras_constraints_options"/>
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100 </when>
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101 <when value="MinMaxNorm">
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102 <expand macro="keras_constraints_options">
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103 <param argument="min_value" type="float" value="0." help="the minimum norm for the incoming weights."/>
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104 <param argument="max_value" type="float" value="1." help="the maximum norm for the incoming weights."/>
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105 <param argument="max_value" type="float" value="1." help="rate for enforcing the constraint."/>
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106 </expand>
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107 </when>
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108 </conditional>
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109 </xml>
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110
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111 <xml name="keras_layer_types_core">
27
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112 <option value="Dense">Core -- Dense</option>
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113 <option value="Activation">Core -- Activation</option>
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114 <option value="Dropout">Core -- Dropout</option>
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115 <option value="Flatten">Core -- Flatten</option>
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116 <option value="Reshape">Core -- Reshape</option>
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117 <option value="Permute">Core -- Permute</option>
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118 <option value="RepeatVector">Core -- RepeatVector</option>
26
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119 <!--option value="Lambda">Lambda - Not supported</option-->
27
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120 <option value="ActivityRegularization">Core -- ActivityRegularization</option>
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121 <option value="Masking">Core -- Masking</option>
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122 <option value="SpatialDropout1D">Core -- SpatialDropout1D</option>
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123 <option value="SpatialDropout2D">Core -- SpatialDropout2D</option>
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124 <option value="SpatialDropout3D">Core -- SpatialDropout3D</option>
26
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125 </xml>
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126
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127 <xml name="keras_layer_types_Convolutional">
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128 <option value="Conv1D">Convolutional -- Conv1D</option>
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129 <option value="Conv2D">Convolutional -- Conv2D</option>
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130 <option value="SeparableConv1D">Convolutional -- SeparableConv1D</option>
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131 <option value="SeparableConv2D">Convolutional -- SeparableConv2D</option>
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132 <option value="DepthwiseConv2D">Convolutional -- DepthwiseConv2D</option>
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133 <option value="Conv2DTranspose">Convolutional -- Conv2DTranspose</option>
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134 <option value="Conv3D">Convolutional -- Conv3D</option>
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135 <option value="Conv3DTranspose">Convolutional -- Conv3DTranspose</option>
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136 <option value="Cropping1D">Convolutional -- Cropping1D</option>
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137 <option value="Cropping2D">Convolutional -- Cropping2D</option>
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138 <option value="Cropping3D">Convolutional -- Cropping3D</option>
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139 <option value="UpSampling1D">Convolutional -- UpSampling1D</option>
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140 <option value="UpSampling2D">Convolutional -- UpSampling2D</option>
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141 <option value="UpSampling3D">Convolutional -- UpSampling3D</option>
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142 <option value="ZeroPadding1D">Convolutional -- ZeroPadding1D</option>
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143 <option value="ZeroPadding2D">Convolutional -- ZeroPadding2D</option>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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144 <option value="ZeroPadding3D">Convolutional -- ZeroPadding3D</option>
26
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145 </xml>
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146
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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147 <xml name="keras_layer_types_Pooling">
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148 <option value="MaxPooling1D">Pooling -- MaxPooling1D</option>
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149 <option value="MaxPooling2D">Pooling -- MaxPooling2D</option>
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150 <option value="MaxPooling3D">Pooling -- MaxPooling3D</option>
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151 <option value="AveragePooling1D">Pooling -- AveragePooling1D</option>
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152 <option value="AveragePooling2D">Pooling -- AveragePooling2D</option>
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153 <option value="AveragePooling3D">Pooling -- AveragePooling3D</option>
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154 <option value="GlobalMaxPooling1D">Pooling -- GlobalMaxPooling1D</option>
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155 <option value="GlobalAveragePooling1D">Pooling -- GlobalAveragePooling1D</option>
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156 <option value="GlobalMaxPooling2D">Pooling -- GlobalMaxPooling2D</option>
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157 <option value="GlobalAveragePooling2D">Pooling -- GlobalAveragePooling2D</option>
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158 <option value="GlobalMaxPooling3D">Pooling -- GlobalMaxPooling3D</option>
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159 <option value="GlobalAveragePooling3D">Pooling -- GlobalAveragePooling3D</option>
26
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160 </xml>
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161
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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162 <xml name="keras_layer_types_locally_connected">
27
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163 <option value="LocallyConnected1D">Locally_connected -- LocallyConnected1D</option>
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164 <option value="LocallyConnected2D">Locally_connected -- LocallyConnected2D</option>
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165 </xml>
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166
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167 <xml name="keras_layer_types_recurrent">
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168 <option value="SimpleRNN">Recurrent -- SimpleRNN</option>
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169 <option value="GRU">Recurrent -- GRU</option>
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170 <option value="LSTM">Recurrent -- LSTM</option>
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171 <option value="ConvLSTM2D">Recurrent -- ConvLSTM2D</option>
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172 <option value="ConvLSTM2DCell">Recurrent -- ConvLSTM2DCell</option>
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173 <option value="SimpleRNNCell">Recurrent -- SimpleRNNCell</option>
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174 <option value="GRUCell">Recurrent -- GRUCell</option>
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175 <option value="LSTMCell">Recurrent -- LSTMCell</option>
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176 <option value="CuDNNGRU">Recurrent -- CuDNNGRU</option>
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177 <option value="CuDNNLSTM">Recurrent -- CuDNNLSTM</option>
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178 </xml>
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179
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180 <xml name="keras_layer_types_embedding">
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181 <option value="Embedding">Embedding -- Embedding</option>
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182 </xml>
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183
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184 <xml name="keras_layer_types_advanced_activations">
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185 <option value="LeakyReLU">Advanced activations -- LeakyReLU</option>
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186 <option value="PReLU">Advanced activations -- PReLU</option>
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187 <option value="ELU">Advanced activations -- ELU</option>
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188 <option value="ThresholdedReLU">Advanced activations -- ThresholdedReLU</option>
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189 <option value="Softmax">Advanced activations -- Softmax</option>
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190 <option value="ReLU">Advanced activations -- ReLU</option>
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191 </xml>
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192
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193 <xml name="keras_layer_types_normalization">
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194 <option value="BatchNormalization">Normalization -- BatchNormalization</option>
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195 </xml>
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196
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197 <xml name="keras_layer_types_noise">
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198 <option value="GaussianNoise">Noise -- GaussianNoise</option>
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199 <option value="GaussianDropout">Noise -- GaussianDropout</option>
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200 <option value="AlphaDropout">Noise -- AlphaDropout</option>
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201 </xml>
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202
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203 <xml name="keras_layer_types_merge">
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204 <option value="Add">Merge -- Add</option>
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205 <option value="Subtract">Merge -- Subtract</option>
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206 <option value="Multiply">Merge -- Multiply</option>
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207 <option value="Average">Merge -- Average</option>
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208 <option value="Maximum">Merge -- Maximum</option>
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209 <option value="Minimum">Merge -- Minimum</option>
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210 <option value="Concatenate">Merge -- Concatenate</option>
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211 <option value="Dot">Merge -- Dot</option>
26
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212 </xml>
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213
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214 <!--Core Layers-->
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215
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216 <xml name="layer_Dense">
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217 <param argument="units" type="integer" value="" optional="false" label="units" help="Positive integer, dimensionality of the output space."/>
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218 <expand macro="keras_activations"/>
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219 <expand macro="simple_kwargs" help="For example: use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
26
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220 <yield/>
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221 </xml>
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222
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223 <xml name="layer_Dropout">
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224 <param argument="rate" type="float" value="" min="0." max="1.0" help="Fraction of the input units to drop."/>
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225 <expand macro="simple_kwargs" help="For example: noise_shape=None, seed=None. Leave blank for default."/>
26
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226 <yield/>
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227 </xml>
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228
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229 <xml name="layer_Flatten">
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230 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
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231 <option value="channels_last">channels_last</option>
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232 <option value="channels_first">channels_first</option>
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233 </param>
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234 <yield/>
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235 </xml>
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236
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237 <xml name="layer_Input">
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238 <param argument="shape" type="text" value="" help="A shape tuple (integer), not including the batch size.For instance, `shape=(32,)`"/>
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239 <!--param argument="batch_shape" type="text" value="" optional="true" help="A shape tuple (integer), including the batch size.For instance, `batch_shape=(10, 32)`"/-->
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240 <param argument="name" type="text" value="" optional="true" help="An optional string name for the layer. Unique. autogenerated if it isn't provided."/>
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241 <param argument="dtype" type="select" help="The data type expected by the input">
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242 <option value="float32" selected="true">float32</option>
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243 <option value="float64">float64</option>
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244 <option value="int32">int32</option>
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245 <option value="int64">int64</option>
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246 <!--TODO add more DTYPEs-->
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247 </param>
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248 <param argument="sparse" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="false" />
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249 <!--param argument="tensor" type="data" format="zip" help="Optional existing tensor to wrap into the `Input` layer."/ -->
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250 <yield/>
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251 </xml>
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252
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253 <xml name="layer_Reshape">
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254 <param argument="target_shape" type="text" value="" help="Tuple of integers. Does not include the batch axis."/>
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255 <yield/>
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256 </xml>
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257
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258 <xml name="layer_Permute">
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259 <param argument="dims" type="text" value="" help="Tuple of integers. Permutation pattern, does not include the samples dimension.
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260 Indexing starts at 1. For instance, (2, 1) permutes the first and second dimension of the input."/>
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261 <yield/>
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262 </xml>
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263
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264 <xml name="layer_RepeatVector">
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265 <param argument="n" type="integer" value="" help="repetition factor"/>
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266 </xml>
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267
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268 <xml name="layer_Lambda">
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269 <param argument="function" type="text" value="lambda x: " help="The function to be evaluated. Only lambda function is supported!"/>
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270 <yield/>
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271 </xml>
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272
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273 <xml name="layer_ActivityRegularization">
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274 <param argument="l1" type="float" value="0." min="0." help="L1 regularization factor (positive float)."/>
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275 <param argument="l2" type="float" value="0." min="0." help="L2 regularization factor (positive float)."/>
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276 <yield/>
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277 </xml>
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278
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279 <xml name="layer_Masking">
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280 <param argument="mask_value" type="float" value="0." help="Masks a sequence by using a mask value to skip timesteps."/>
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281 <yield/>
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282 </xml>
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283
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284 <xml name="layer_SpatialDropout1D">
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285 <param argument="rate" type="float" value="" min="0." max="1." help="Fraction of the input units to drop."/>
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286 <yield/>
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287 </xml>
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288
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289 <xml name="layer_SpatialDropout2D">
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290 <param argument="rate" type="float" value="" min="0." max="1." help="Fraction of the input units to drop."/>
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291 <expand macro="simple_kwargs" help="For example: data_format=None. Leave blank for default."/>
26
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292 <yield/>
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293 </xml>
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294
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295 <xml name="layer_SpatialDropout3D">
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296 <param argument="rate" type="float" value="" min="0." max="1." help="Fraction of the input units to drop."/>
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297 <expand macro="simple_kwargs" help="For example: data_format=None. Leave blank for default."/>
26
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298 <yield/>
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299 </xml>
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300
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301 <!--Convolutional Layers-->
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302
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303 <xml name="layer_Conv1D">
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304 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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305 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of a single integer, specifying the length of the 1D convolution window."/>
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306 <expand macro="keras_activations"/>
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307 <expand macro="simple_kwargs" help="For example: strides=1, padding='valid', data_format='channels_last', dilation_rate=1, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
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308 <yield/>
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309 </xml>
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310
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311 <xml name="layer_Conv2D">
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312 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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313 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window."/>
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314 <expand macro="keras_activations"/>
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315 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
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316 <yield/>
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317 </xml>
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318
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319 <xml name="layer_SeparableConv1D">
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320 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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321 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of a single integer, specifying the length of the 1D convolution window."/>
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322 <expand macro="keras_activations"/>
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323 <expand macro="simple_kwargs" help="For example: strides=1, padding='valid', data_format='channels_last', dilation_rate=1, depth_multiplier=1, use_bias=True, depthwise_initializer='glorot_uniform', pointwise_initializer='glorot_uniform', bias_initializer='zeros', depthwise_regularizer=None, pointwise_regularizer=None, bias_regularizer=None, activity_regularizer=None, depthwise_constraint=None, pointwise_constraint=None, bias_constraint=None. Leave blank for default."/>
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324 <yield/>
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325 </xml>
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326
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327 <xml name="layer_SeparableConv2D">
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328 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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329 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window."/>
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330 <expand macro="keras_activations"/>
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331 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), depth_multiplier=1, use_bias=True, depthwise_initializer='glorot_uniform', pointwise_initializer='glorot_uniform', bias_initializer='zeros', depthwise_regularizer=None, pointwise_regularizer=None, bias_regularizer=None, activity_regularizer=None, depthwise_constraint=None, pointwise_constraint=None, bias_constraint=None. Leave blank for default."/>
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332 <yield/>
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333 </xml>
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334
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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335 <xml name="layer_DepthwiseConv2D">
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336
26
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337 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window."/>
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338 <expand macro="keras_activations"/>
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339 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', depth_multiplier=1, data_format=None, use_bias=True, depthwise_initializer='glorot_uniform', bias_initializer='zeros', depthwise_regularizer=None, bias_regularizer=None, activity_regularizer=None, depthwise_constraint=None, bias_constraint=None. Leave blank for default."/>
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340 <yield/>
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341 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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342
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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343 <xml name="layer_Conv2DTranspose">
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344 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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345 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window."/>
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346 <expand macro="keras_activations"/>
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347 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', output_padding=None, data_format=None, dilation_rate=(1, 1), use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
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348 <yield/>
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349 </xml>
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350
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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351 <xml name="layer_Conv3D">
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352 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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353 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 3 integers, specifying the depth, height and width of the 3D convolution window."/>
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354 <expand macro="keras_activations"/>
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355 <expand macro="simple_kwargs" help="For example: strides=(1, 1, 1), padding='valid', data_format=None, dilation_rate=(1, 1, 1), use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
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356 <yield/>
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357 </xml>
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358
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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359 <xml name="layer_Conv3DTranspose">
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360 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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361 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 3 integers, specifying the depth, height and width of the 3D convolution window."/>
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362 <expand macro="keras_activations"/>
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363 <expand macro="simple_kwargs" help="For example: strides=(1, 1, 1), padding='valid', output_padding=None, data_format=None, activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
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364 <yield/>
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365 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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366
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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367 <xml name="layer_Cropping1D">
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368 <param argument="cropping" type="text" value="(1, 1)" help="int or tuple of int (length 2) How many units should be trimmed off at the beginning and end of the cropping dimension (axis 1). If a single int is provided, the same value will be used for both."/>
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369 <yield/>
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370 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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371
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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372 <xml name="layer_Cropping2D">
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373 <param argument="cropping" type="text" value="((0, 0), (0, 0))" help="int, or tuple of 2 ints, or tuple of 2 tuples of 2 ints."/>
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374 <expand macro="simple_kwargs" help="For example: data_format=None. Leave blank for default."/>
26
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375 <yield/>
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376 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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377
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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378 <xml name="layer_Cropping3D">
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379 <param argument="cropping" type="text" value="((1, 1), (1, 1), (1, 1))" help="int, or tuple of 3 ints, or tuple of 3 tuples of 2 ints."/>
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380 <expand macro="simple_kwargs" help="For example: data_format=None. Leave blank for default."/>
26
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381 <yield/>
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382 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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383
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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384 <xml name="layer_UpSampling1D">
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385 <param argument="size" type="integer" value="2" min="0" help="integer. Upsampling factor."/>
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386 <yield/>
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387 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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388
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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389 <xml name="layer_UpSampling2D">
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390 <param argument="size" type="text" value="(2, 2)" help="int, or tuple of 2 integers. The upsampling factors for rows and columns."/>
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391 <expand macro="simple_kwargs" help="For example: data_format=None, interpolation='nearest'. Leave blank for default."/>
26
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392 <yield/>
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393 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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394
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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395 <xml name="layer_UpSampling3D">
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396 <param argument="size" type="text" value="(2, 2, 2)" help="int, or tuple of 3 integers. The upsampling factors for dim1, dim2 and dim3."/>
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397 <expand macro="simple_kwargs" help="For example: data_format=None, interpolation='nearest'. Leave blank for default."/>
26
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398 <yield/>
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399 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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400
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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401 <xml name="layer_ZeroPadding1D">
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402 <param argument="padding" type="text" value="1" help="int, or tuple of int (length 2)"/>
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403 <yield/>
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404 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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405
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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406 <xml name="layer_ZeroPadding2D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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407 <param argument="padding" type="text" value="(1, 1)" help="int, or tuple of 2 ints, or tuple of 2 tuples of 2 ints."/>
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408 <expand macro="simple_kwargs" help="For example: data_format=None. Leave blank for default."/>
26
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409 <yield/>
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410 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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411
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
412 <xml name="layer_ZeroPadding3D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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413 <param argument="padding" type="text" value="(1, 1, 1)" help="int, or tuple of 3 ints, or tuple of 3 tuples of 2 ints."/>
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414 <expand macro="simple_kwargs" help="For example: data_format=None. Leave blank for default."/>
26
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415 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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416 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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417
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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418 <!--Pooling Layers-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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419
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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420 <xml name="layer_MaxPooling1D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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421 <param name="pool_size" type="integer" value="2" help="Integer, size of the max pooling windows."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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422 <param name="strides" type="integer" value="" help="Integer, or None. Factor by which to downscale. E.g. 2 will halve the input. If None, it will default to pool_size."/>
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423 <expand macro="simple_kwargs" help="For example: padding='valid', data_format='channels_last'. Leave blank for default."/>
26
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424 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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425 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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426
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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427 <xml name="layer_MaxPooling2D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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428 <param name="pool_size" type="text" value="(2, 2)" help="integer or tuple of 2 integers, factors by which to downscale (vertical, horizontal)"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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429 <param name="strides" type="text" value="" help="Integer, tuple of 2 integers, or None. Strides values. If None, it will default to pool_size."/>
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430 <expand macro="simple_kwargs" help="For example: padding='valid', data_format='channels_last'. Leave blank for default."/>
26
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431 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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432 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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433
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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434 <xml name="layer_MaxPooling3D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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435 <param name="pool_size" type="text" value="(2, 2, 2)" help="tuple of 3 integers, factors by which to downscale (dim1, dim2, dim3).
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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436 (2, 2, 2) will halve the size of the 3D input in each dimension."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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437 <param name="strides" type="text" value="" help="tuple of 3 integers, or None. If None, it will default to pool_size."/>
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438 <expand macro="simple_kwargs" help="For example: padding='valid', data_format='channels_last'. Leave blank for default."/>
26
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439 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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440 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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441
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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442 <xml name="layer_AveragePooling1D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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443 <param name="pool_size" type="integer" value="2" help="Integer, size of the max pooling windows."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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444 <param name="strides" type="integer" value="" help="Integer, or None. Factor by which to downscale. E.g. 2 will halve the input. If None, it will default to pool_size."/>
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445 <expand macro="simple_kwargs" help="For example: padding='valid', data_format='channels_last'. Leave blank for default."/>
26
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446 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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447 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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448
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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449 <xml name="layer_AveragePooling2D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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450 <param name="pool_size" type="text" value="(2, 2)" help="integer or tuple of 2 integers, factors by which to downscale (vertical, horizontal)"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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451 <param name="strides" type="text" value="" help=" Integer, tuple of 2 integers, or None. Strides values. If None, it will default to pool_size."/>
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452 <expand macro="simple_kwargs" help="For example: padding='valid', data_format='channels_last'. Leave blank for default."/>
26
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453 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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454 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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455
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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456 <xml name="layer_AveragePooling3D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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457 <param name="pool_size" type="text" value="(2, 2, 2)" help="tuple of 3 integers, factors by which to downscale (dim1, dim2, dim3).
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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458 (2, 2, 2) will halve the size of the 3D input in each dimension."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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459 <param name="strides" type="text" value="" help="tuple of 3 integers, or None. If None, it will default to pool_size."/>
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460 <expand macro="simple_kwargs" help="For example: padding='valid', data_format='channels_last'. Leave blank for default."/>
26
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461 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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462 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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463
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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464 <xml name="layer_GlobalMaxPooling1D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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465 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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466 <option value="channels_last" selected="true">channels_last - inputs with shape (batch, steps, channels)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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467 <option value="channels_first">channels_first - inputs with shape (batch, channels, steps)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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468 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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469 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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470 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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471
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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472 <xml name="layer_GlobalMaxPooling2D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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473 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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474 <option value="channels_last" selected="true">channels_last - inputs with shape (batch, height, width, channels)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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475 <option value="channels_first">channels_first - inputs with shape (batch, channels, height, width)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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476 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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477 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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478 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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479
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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480 <xml name="layer_GlobalMaxPooling3D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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481 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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482 <option value="channels_last" selected="true">channels_last - inputs with shape (batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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483 <option value="channels_first">channels_first - inputs with shape (batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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484 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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485 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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486 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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487
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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488 <xml name="layer_GlobalAveragePooling1D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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489 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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490 <option value="channels_last" selected="true">channels_last - inputs with shape (batch, steps, channels)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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491 <option value="channels_first">channels_first - inputs with shape (batch, channels, steps)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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492 </param>
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493 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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494 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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495
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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496 <xml name="layer_GlobalAveragePooling2D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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497 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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498 <option value="channels_last" selected="true">channels_last - inputs with shape (batch, height, width, channels)</option>
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499 <option value="channels_first">channels_first - inputs with shape (batch, channels, height, width)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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500 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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501 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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502 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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503
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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504 <xml name="layer_GlobalAveragePooling3D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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505 <param argument="data_format" type="select" help="The ordering of the dimensions in the inputs.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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506 <option value="channels_last" selected="true">channels_last - inputs with shape (batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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507 <option value="channels_first">channels_first - inputs with shape (batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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508 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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509 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
510 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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511
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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512 <!--Locally-connected Layers-->
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513
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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514 <xml name="layer_LocallyConnected1D">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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515 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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516 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of a single integer, specifying the length of the 1D convolution window."/>
27
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517 <expand macro="keras_activations"/>
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518 <expand macro="simple_kwargs" help="For example: strides=1, padding='valid', data_format=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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519 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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520 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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521
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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522 <xml name="layer_LocallyConnected2D">
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523 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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524 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window."/>
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525 <expand macro="keras_activations"/>
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526 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', data_format=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None. Leave blank for default."/>
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527 <yield/>
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528 </xml>
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529
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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530 <!--Recurrent Layers-->
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531
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532 <xml name="layer_SimpleRNN">
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533 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
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534 <expand macro="simple_kwargs" help="For example: activation='tanh', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0, return_sequences=False, return_state=False, go_backwards=False, stateful=False, unroll=False. Leave blank for default."/>
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535 <yield/>
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536 </xml>
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537
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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538 <xml name="layer_GRU">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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539 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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540 <expand macro="simple_kwargs" help="For example: activation='tanh', recurrent_activation='hard_sigmoid', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0, implementation=1, return_sequences=False, return_state=False, go_backwards=False, stateful=False, unroll=False, reset_after=False. Leave blank for default."/>
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541 <yield/>
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542 </xml>
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543
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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544 <xml name="layer_LSTM">
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545 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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546 <expand macro="simple_kwargs" help="For example: activation='tanh', recurrent_activation='hard_sigmoid', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', unit_forget_bias=True, kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0, implementation=1, return_sequences=False, return_state=False, go_backwards=False, stateful=False, unroll=False. Leave blank for default."/>
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547 <yield/>
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548 </xml>
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549
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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550 <xml name="layer_ConvLSTM2D">
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551 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
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552 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of n integers, specifying the dimensions of the convolution window."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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553 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation='tanh', recurrent_activation='hard_sigmoid', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', unit_forget_bias=True, kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, return_sequences=False, go_backwards=False, stateful=False, dropout=0.0, recurrent_dropout=0.0. Leave blank for default."/>
26
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554 <yield/>
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555 </xml>
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556
27
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diff changeset
557 <xml name="layer_ConvLSTM2DCell">
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558 <param argument="filters" type="integer" value="" min="0" help="the dimensionality of the output space (i.e. the number of output filters in the convolution)."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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559 <param argument="kernel_size" type="text" value="" help="An integer or tuple/list of n integers, specifying the dimensions of the convolution window."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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560 <expand macro="simple_kwargs" help="For example: strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation='tanh', recurrent_activation='hard_sigmoid', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', unit_forget_bias=True, kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0. Leave blank for default."/>
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561 <yield/>
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562 </xml>
26
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563
27
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564 <xml name="layer_SimpleRNNCell">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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565 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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diff changeset
566 <expand macro="simple_kwargs" help="For example: activation='tanh', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0. Leave blank for default."/>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
567 <yield/>
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
568 </xml>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
569
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
570 <xml name="layer_GRUCell">
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
571 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
572 <expand macro="simple_kwargs" help="For example: activation='tanh', recurrent_activation='hard_sigmoid', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0, implementation=1, reset_after=False. Leave blank for default."/>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
573 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
574 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
575
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
576 <xml name="layer_LSTMCell">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
577 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
578 <expand macro="simple_kwargs" help="For example: activation='tanh', recurrent_activation='hard_sigmoid', use_bias=True, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', unit_forget_bias=True, kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, dropout=0.0, recurrent_dropout=0.0, implementation=1. Leave blank for default."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
579 <yield/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
580 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
581
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
582 <xml name="layer_CuDNNGRU">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
583 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
584 <expand macro="simple_kwargs" help="For example: kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, return_sequences=False, return_state=False, stateful=False. Leave blank for default."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
585 <yield/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
586 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
587
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
588 <xml name="layer_CuDNNLSTM">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
589 <param argument="units" type="integer" value="" min="1" help="Positive integer, dimensionality of the output space."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
590 <expand macro="simple_kwargs" help="For example: kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', bias_initializer='zeros', unit_forget_bias=True, kernel_regularizer=None, recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, recurrent_constraint=None, bias_constraint=None, return_sequences=False, return_state=False, stateful=False. Leave blank for default."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
591 <yield/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
592 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
593
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
bgruening
parents: 26
diff changeset
594
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
595 <!--Embedding Layers-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
596
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
597 <xml name="layer_Embedding">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
598 <param argument="input_dim" type="integer" value="" min="0" help="int > 0. Size of the vocabulary, i.e. maximum integer index + 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
599 <param argument="output_dim" type="integer" value="" min="0" help="int >= 0. Dimension of the dense embedding."/>
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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parents: 26
diff changeset
600 <expand macro="simple_kwargs" help="For example: embeddings_initializer='uniform', embeddings_regularizer=None, activity_regularizer=None, embeddings_constraint=None, mask_zero=False, input_length=None. Leave blank for default."/>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
601 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
602 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
603
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
604 <!--Merge Layers-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
605
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
606 <xml name="layer_merge">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
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diff changeset
607 <param name="merging_layers" type="text" value="[ ]" label="Type the layer index numbers in a list" help="List of numbers">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
608 <sanitizer>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
609 <valid initial="default">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
610 <add value="["/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
611 <add value="]"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
612 </valid>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
613 </sanitizer>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
614 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
615 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
616 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
617
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
618 <xml name="layer_Concatenate" token_type="integer" token_default_value="-1" token_help="Axis along which to concatenate.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
619 <expand macro="layer_merge">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
620 <param argument="axis" type="@TYPE@" value="@DEFAULT_VALUE@" help="@HELP@"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
621 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
622 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
623 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
624
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
625 <xml name="layer_Dot">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
626 <expand macro="layer_Concatenate" type="text" default_value="" help="Integer or tuple of integers, axis or axes along which to take the dot product.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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627 <param argument="normalize" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="false" label="Whether to L2-normalize samples along the dot product axis before taking the dot product?"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
628 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
629 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
630 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
631
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
632 <!--Advanced Activations Layers-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
633
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
634 <xml name="layer_LeakyReLU">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
635 <param argument="alpha" type="float" value="0.3" min="0." help="float >= 0. Negative slope coefficient."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
636 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
637 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
638
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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639 <xml name="layer_PReLU">
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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diff changeset
640 <expand macro="keras_initializers" argument="alpha_initializer" default_zeros="true"/>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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641 <expand macro="keras_regularizers" argument="alpha_regularizer"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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642 <expand macro="keras_constraints" argument="alpha_constraint"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
643 <param argument="shared_axes" type="text" value="" help="the axes along which to share learnable parameters for the activation function. E.g. [1, 2]">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
644 <sanitizer>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
645 <valid initial="default">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
646 <add value="["/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
647 <add value="]"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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648 </valid>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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649 </sanitizer>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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650 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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651 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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652 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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653
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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654 <xml name="layer_ELU">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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655 <param argument="alpha" type="float" value="1.0" help="scale for the negative factor."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
656 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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657 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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658
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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659 <xml name="layer_ThresholdedReLU">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
660 <param argument="theta" type="float" value="1.0" help="float >= 0. Threshold location of activation."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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661 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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662 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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663
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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664 <xml name="layer_Softmax">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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665 <param argument="axis" type="integer" value="-1" help="Integer, axis along which the softmax normalization is applied."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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666 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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667 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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668
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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669 <xml name="layer_ReLU">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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670 <param argument="max_value" type="float" value="" min="0." help="float >= 0. Maximum activation value."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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671 <param argument="negative_slope" type="float" value="0." min="0." help="float >= 0. Negative slope coefficient."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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672 <param argument="max_value" type="float" value="0." help="float. Threshold value for thresholded activation."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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673 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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674 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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675
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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676 <!--Normalization Layers-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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677
27
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678 <xml name="layer_BatchNormalization">
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679 <expand macro="simple_kwargs" help="For example: axis=-1, momentum=0.99, epsilon=0.001, center=True, scale=True, beta_initializer='zeros', gamma_initializer='ones', moving_mean_initializer='zeros', moving_variance_initializer='ones', beta_regularizer=None, gamma_regularizer=None, beta_constraint=None, gamma_constraint=None. Leave blank for default."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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680 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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681
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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682 <!--Noise layers-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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683
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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684 <xml name="layer_GaussianNoise">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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685 <param argument="stddev" type="float" value="" help="float, standard deviation of the noise distribution."/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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686 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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687
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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688 <xml name="layer_GaussianDropout">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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689 <param argument="rate" type="float" value="" help="drop probability, (as with `Dropout`). The multiplicative noise will have standard deviation `sqrt(rate / (1 - rate))`"/>
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690 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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691
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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692 <xml name="layer_AlphaDropout">
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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693 <expand macro="layer_Dropout"/>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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694 </xml>
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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695
26
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696 <xml name="inbound_nodes_index">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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697 <param name="inbound_nodes" type="integer" value="" label="Type the index number of input layer"
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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698 help="Find the index number at the left top corner of layer configuration block"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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699 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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700
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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diff changeset
701 <!--Simple key words text parameters, conbined to reduce UI latency-->
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diff changeset
702
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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diff changeset
703 <xml name="simple_kwargs" token_help="Leave blank for default.">
39
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
704 <param argument="kwargs" type="text" value="" label="Type in key words arguments if different from the default" help="@HELP@">
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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705 <sanitizer>
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
706 <valid initial="default">
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
707 <add value="&apos;" />
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
708 <add value="&quot;" />
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
709 </valid>
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
710 </sanitizer>
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
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diff changeset
711 </param>
27
52ea044c667f "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
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diff changeset
712 </xml>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
713
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
714 <!-- Keras CallBacks -->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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715
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
716 <xml name="keras_callbacks">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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717 <repeat name="callbacks" min="1" max="5" title="callback">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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718 <conditional name="callback_selection">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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719 <param name="callback_type" type="select" label="Choose a callback">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
720 <option value="None" selected="true">None</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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721 <option value="EarlyStopping">EarlyStopping -- Stop training when a monitored quantity has stopped improving</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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722 <!--option value="KerasTensorBoard">TensorBoard</option-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
723 <!--option value="KerasLearningRateScheduler">LearningRateScheduler</option-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
724 <!--option value="RemoteMonitor">RemoteMonitor - Stream events to a server</option> -->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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725 <!--option value="ModelCheckpoint">ModelCheckpoint - Save the model after every epoch</option>-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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726 <option value="TerminateOnNaN">TerminateOnNaN -- Terminates training when a NaN loss is encountered.</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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727 <option value="ReduceLROnPlateau">ReduceLROnPlateau -- Reduce learning rate when a metric has stopped improving</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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728 <option value="CSVLogger">CSVLogger -- Streams epoch results to a csv file</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
729 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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730 <when value="None"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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731 <when value="EarlyStopping">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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732 <expand macro="keras_callback_common_options">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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733 <param argument="min_delta" type="float" value="0" optional="true" help="Minimum change in the monitored quantity to qualify as an improvement."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
734 <param argument="patience" type="integer" value="0" min="0" help="Number of epochs with no improvement after which training will be stopped."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
735 <param argument="baseline" type="float" value="" optional="true" help="Baseline value for the monitored quantity to reach. Training will stop if the model doesn't show improvement over the baseline."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
736 <param argument="restore_best_weights" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" help="Whether to restore model weights from the epoch with the best value of the monitored quantity"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
737 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
738 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
739 <!--when value="TensorBoard">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
740 <param argument="histogram_freq" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
741 <param argument="batch_size" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
742 <param argument="write_graph" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
743 <param argument="write_grads" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
744 <param argument="write_images" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
745 <param argument="embeddings_layer_names" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
746 <param argument="embeddings_metadata" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
747 <param argument="embeddings_data" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
748 <param argument="update_freq" />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
749 </when-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
750 <!--when value="RemoteMonitor">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
751 <param argument="root" type="text" value="http://localhost:9000" help="Root url of the target server."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
752 <param argument="path" type="text" value="/publish/epoch/end/" help="Path relative to root to which the events will be sent. E.g., root + '/publish/epoch/end/'"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
753 <param argument="field" type="text" value="data" optional="true" help="JSON field under which the data will be stored. The field is used only if the payload is sent within a form (i.e. send_as_json is set to False)."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
754 <param argument="headers" type="text" value="" optional="true" help="Dictionary; optional custom HTTP headers.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
755 <sanitizer>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
756 <valid initial="default">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
757 <add value="{"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
758 <add value="}"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
759 </valid>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
760 </sanitizer>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
761 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
762 <param argument="send_as_json" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" help="Whether the request should be send as application/json."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
763 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
764 <when value="ModelCheckpoint">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
765 <expand macro="keras_callback_common_options">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
766 <param argument="save_best_only" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" help="If True, the latest best model according to the quantity monitored will not be overwritten."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
767 <param argument="save_weights_only" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" help="If True, then only the model's weights will be saved, else the full model is saved."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
768 <param argument="period" type="integer" value="1" min="1" help="Interval (number of epochs) between checkpoints."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
769 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
770 </when>-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
771 <when value="TerminateOnNaN"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
772 <when value="ReduceLROnPlateau">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
773 <expand macro="keras_callback_common_options">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
774 <param argument="factor" type="float" value="0.1" help="Factor by which the learning rate will be reduced. new_lr = lr * factor"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
775 <param argument="patience" type="integer" value="10" help="Number of epochs with no improvement after which learning rate will be reduced."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
776 <param argument="min_delta" type="float" value="0.0001" help="Threshold for measuring the new optimum, to only focus on significant changes."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
777 <param argument="cooldown" type="integer" value="0" help="Number of epochs to wait before resuming normal operation after lr has been reduced."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
778 <param argument="min_lr" type="float" value="0" help="Lower bound on the learning rate."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
779 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
780 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
781 <when value="CSVLogger"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
782 </conditional>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
783 </repeat>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
784 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
785
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
786 <xml name="keras_callback_common_options">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
787 <param argument="monitor" type="select" help="Quantity to be monitored.">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
788 <option value="val_loss" selected="true">val_loss</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
789 <option value="loss">loss</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
790 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
791 <param argument="mode" type="select">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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792 <option value="auto" selected="true">auto -- the direction is automatically inferred from the name of the monitored quantity</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
793 <option value="min">min -- training will stop when the quantity monitored has stopped decreasing</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
794 <option value="max">max -- training will stop when the quantity monitored has stopped increasing</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
795 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
796 <yield/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
797 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
798
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
799 <!--Batch online data generators-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
800
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
801 <xml name="params_fasta_dna_batch_generator">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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802 <param argument="seq_length" type="integer" value="1000" optional="true" help="Integer. Sequence length or number of bases."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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803 <param argument="shuffle" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="true" help="Whether to shuffle the data between epochs."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
804 <param argument="seed" type="integer" value="" optional="true" help="Integer, random seed for data shuffling"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
805 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
806
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
807 <xml name="params_fasta_protein_batch_generator">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
808 <expand macro="params_fasta_dna_batch_generator"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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809 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
810
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
811 <xml name="params_genomic_interval_batch_generator">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
812 <expand macro="params_fasta_dna_batch_generator"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
813 <param argument="blacklist_regions" type="select" help="Tabix-indexed list of regions from which we should not output sequences">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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814 <option value="hg38" selected="true">hg38</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
815 <option value="hg19">hg19</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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816 </param>
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diff changeset
817 <param argument="center_bin_to_predict" type="integer" value="200" optional="true" help="Query the tabix-indexed file for a region of length."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
818 <param argument="feature_thresholds" type="float" value="0.5" optional="true" help="Threshold values to determine target value."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
819 <param argument="random_state" type="integer" value="" optional="true" help="Random seed number, to control the sample position in each invertal."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
820 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
821
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
822 <xml name="params_image_batch_generator">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
823 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
824
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
825
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
826 <!--composite params macro-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
827
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
828 <xml name="keras_compile_params_section">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
829 <section name="compile_params" title="Compile Parameters" expanded="true">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
830 <param name="loss" type="select" label="Select a loss function">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
831 <option value="binary_crossentropy" selected="true">binary_crossentropy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
832 <option value="mean_squared_error">mse / MSE/ mean_squared_error</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
833 <option value="mean_absolute_error">mae / MAE / mean_absolute_error</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
834 <option value="mean_absolute_percentage_error">mape / MAPE / mean_absolute_percentage_error</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
835 <option value="mean_squared_logarithmic_error">msle / MSLE / mean_squared_logarithmic_error</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
836 <option value="squared_hinge">squared_hinge</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
837 <option value="hinge">hinge</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
838 <option value="categorical_hinge">categorical_hinge</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
839 <option value="logcosh">logcosh</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
840 <option value="categorical_crossentropy">categorical_crossentropy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
841 <option value="sparse_categorical_crossentropy">sparse_categorical_crossentropy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
842 <option value="kullback_leibler_divergence">kld / KLD / kullback_leibler_divergence</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
843 <option value="poisson">poisson</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
844 <option value="cosine_proximity">cosine / cosine_proximity</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
845 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
846 <conditional name="optimizer_selection">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
847 <param name="optimizer_type" type="select" label="Select an optimizer">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
848 <option value="SGD" selected="true">SGD - Stochastic gradient descent optimizer </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
849 <option value="RMSprop">RMSprop - RMSProp optimizer </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
850 <option value="Adagrad">Adagrad - Adagrad optimizer </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
851 <option value="Adadelta">Adadelta - Adadelta optimizer </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
852 <option value="Adam">Adam - Adam optimizer </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
853 <option value="Adamax">Adamax - A variant of Adam based on the infinity norm </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
854 <option value="Nadam">Nadam - Nesterov Adam optimizer </option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
855 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
856 <when value="SGD">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
857 <expand macro="keras_optimizer_common">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
858 <param argument="momentum" type="float" value="0" optional="true" label="Momentum"
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
859 help="float >= 0. Parameter that accelerates SGD in the relevant direction and dampens oscillations."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
860 <param argument="decay" type="float" value="0" label="Decay" optional="true" help="float &gt;= 0. Learning rate decay over each update."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
861 <param argument="nesterov" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="false" label="Whether to apply Nesterov momentum"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
862 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
863 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
864 <when value="RMSprop">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
865 <expand macro="keras_optimizer_common_more" lr="0.001">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
866 <param argument="rho" type="float" value="0.9" optional="true" label="rho" help="float &gt;= 0."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
867 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
868 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
869 <when value="Adagrad">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
870 <expand macro="keras_optimizer_common_more" lr="0.001"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
871 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
872 <when value="Adadelta">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
873 <expand macro="keras_optimizer_common_more" lr="1.0">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
874 <param argument="rho" type="float" value="0.95" optional="true" label="rho" help="float &gt;= 0."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
875 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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876 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
877 <when value="Adam">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
878 <expand macro="keras_optimizer_common_more" lr="0.001">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
879 <param argument="beta_1" type="float" value="0.9" optional="true" label="beta_1" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
880 <param argument="beta_2" type="float" value="0.999" optional="true" label="beta_2" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
881 <param argument="amsgrad" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="false" label="Whether to apply the AMSGrad variant?"
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
882 help="Refer to paper `On the Convergence of Adam and Beyond`"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
883 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
884 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
885 <when value="Adamax">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
886 <expand macro="keras_optimizer_common_more" lr="0.002">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
887 <param argument="beta_1" type="float" value="0.9" optional="true" label="beta_1" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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888 <param argument="beta_2" type="float" value="0.999" optional="true" label="beta_2" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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889 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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890 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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891 <when value="Nadam">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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892 <expand macro="keras_optimizer_common" lr="0.002">
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893 <param argument="beta_1" type="float" value="0.9" optional="true" label="beta_1" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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894 <param argument="beta_2" type="float" value="0.999" optional="true" label="beta_2" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
31
df579b31311d "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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diff changeset
895 <!--param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/>-->
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
896 <param argument="schedule_decay" type="float" value="0.004" optional="true" label="schedule_decay" help="float, 0 &lt; beta &lt; 1."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
897 </expand>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
898 </when>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
899 </conditional>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
900 <param name="metrics" type="select" optional="true" multiple="true" label="Select metrics">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
901 <option value="acc" selected="true">acc / accruracy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
902 <option value="binary_accuracy">binary_accuracy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
903 <option value="categorical_accuracy">categorical_accuracy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
904 <option value="sparse_categorical_accuracy">sparse_categorical_accuracy</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
905 <option value="mse">mse / MSE / mean_squared_error</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
906 <option value="mae">mae / MAE / mean_absolute_error</option>
39
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
bgruening
parents: 31
diff changeset
907 <option value="mape">mape / MAPE / mean_absolute_percentage_error</option>
26
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
908 <option value="cosine_proximity">cosine_proximity</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
909 <option value="cosine">cosine</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
910 <option value="none">none</option>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
911 </param>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
912 </section>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
913 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
914
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
915 <xml name="keras_fit_params_section">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
916 <section name="fit_params" title="Fit Parameters" expanded="true">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
917 <param name="epochs" type="integer" value="1" min="1" label="epochs"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
918 <param name="batch_size" type="integer" value="32" optional="true" label="batch_size" help="Integer or blank for 32"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
919 <param name="steps_per_epoch" type="integer" value="" optional="true" label="steps_per_epoch" help="The number of steps (batches of samples) before declaring one epoch finished and starting the next epoch. The default None is equal to the number of samples in your dataset divided by the batch size, or 1 if that cannot be determined."/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
920 <param name="validation_steps" type="integer" value="" optional="true" label="validation_steps" help="Default None. Total number of steps (batches of samples) to validate before stopping." />
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
921 <!--`validation_freq` will be available in next keras version-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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parents:
diff changeset
922 <!--param name="validation_freq" type="integer" value="1" optional="true" label="validation_freq" help="Integer only at current moment. If an integer, specifies how many training epochs to run before a new validation run is performed."/-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
923 <expand macro="keras_callbacks"/>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
924 </section>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
925 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
926
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
927 <!--Citation-->
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
928 <xml name="keras_citation">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
929 <citation type="bibtex">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
930 @misc{chollet2015keras,
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
931 title={Keras},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
932 url={https://keras.io},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
933 author={Chollet, Fran\c{c}ois and others},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
934 year={2015},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
935 howpublished={https://keras.io},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
936 }
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
937 </citation>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
938 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
939
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
940 <xml name="tensorflow_citation">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
941 <citation type="bibtex">
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
942 @misc{tensorflow2015-whitepaper,
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
943 title={ {TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
944 url={https://www.tensorflow.org/},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
945 note={Software available from tensorflow.org},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
946 author={
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
947 Mart\'{\i}n~Abadi and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
948 Ashish~Agarwal and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
949 Paul~Barham and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
950 Eugene~Brevdo and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
951 Zhifeng~Chen and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
952 Craig~Citro and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
953 Greg~S.~Corrado and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
954 Andy~Davis and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
955 Jeffrey~Dean and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
956 Matthieu~Devin and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
957 Sanjay~Ghemawat and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
958 Ian~Goodfellow and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
959 Andrew~Harp and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
960 Geoffrey~Irving and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
961 Michael~Isard and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
962 Yangqing Jia and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
963 Rafal~Jozefowicz and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
964 Lukasz~Kaiser and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
965 Manjunath~Kudlur and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
966 Josh~Levenberg and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
967 Dandelion~Man\'{e} and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
968 Rajat~Monga and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
969 Sherry~Moore and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
970 Derek~Murray and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
971 Chris~Olah and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
972 Mike~Schuster and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
973 Jonathon~Shlens and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
974 Benoit~Steiner and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
975 Ilya~Sutskever and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
976 Kunal~Talwar and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
977 Paul~Tucker and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
978 Vincent~Vanhoucke and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
979 Vijay~Vasudevan and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
980 Fernanda~Vi\'{e}gas and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
981 Oriol~Vinyals and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
982 Pete~Warden and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
983 Martin~Wattenberg and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
984 Martin~Wicke and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
985 Yuan~Yu and
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
986 Xiaoqiang~Zheng},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
987 year={2015},
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
988 }
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
989 </citation>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
990 </xml>
ebf295f2faf6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
bgruening
parents:
diff changeset
991
39
e6f4d3d9058c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
bgruening
parents: 31
diff changeset
992 </macros>