Mercurial > repos > tduigou > icfree_learner

comparison learner.xml @ 10:9c8f55844d3f draft default tip

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planemo upload for repository https://github.com/brsynth/icfree-ml commit e8c8f102cab10531ed588be4ecb8a0d01e797f09
author tduigou
date Tue, 06 Jan 2026 11:36:48 +0000
parents 9852c2c641b2
children
comparison
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9:9852c2c641b2 10:9c8f55844d3f
91 </assert_contents> 91 </assert_contents>
92 </output> 92 </output>
93 <output_collection name="output_png" type="list" count="4"> 93 <output_collection name="output_png" type="list" count="4">
94 <element name="EI selected"> 94 <element name="EI selected">
95 <assert_contents> 95 <assert_contents>
96 <has_size value="77k" delta="1k"/> 96 <has_size value="78848" delta="17000"/>
97 </assert_contents> 97 </assert_contents>
98 </element> 98 </element>
99 <element name="EI"> 99 <element name="EI">
100 <assert_contents> 100 <assert_contents>
101 <has_size value="36k" delta="1k"/> 101 <has_size value="36864" delta="6000"/>
102 </assert_contents> 102 </assert_contents>
103 </element> 103 </element>
104 <element name="Train_Test"> 104 <element name="Train_Test">
105 <assert_contents> 105 <assert_contents>
106 <has_size value="64k" delta="1k"/> 106 <has_size value="65536" delta="10000"/>
107 </assert_contents> 107 </assert_contents>
108 </element> 108 </element>
109 <element name="Yield evolution through each active learning query"> 109 <element name="Yield evolution through each active learning query">
110 <assert_contents> 110 <assert_contents>
111 <has_size value="19k" delta="1k"/> 111 <has_size value="16633" delta="1"/>
112 </assert_contents> 112 </assert_contents>
113 </element> 113 </element>
114 </output_collection> 114 </output_collection>
115 </test> 115 </test>
116 <test> 116 <test>
117 <!-- python -m icfree.learner -data_folder learner -parameter_file learner.input.param.tsv -output_folder tmp2 -name_list "Yield1,Yield2" -nb_rep 5 -flatten -seed 85 -nb_new_data_predict 20 -nb_new_data 2 -parameter_step 2 -n_group 3 -km 5 -ks 2 -save_plot -verbose --> 117 <!-- python -m icfree.learner -data_folder learner -parameter_file learner.input.param.tsv -output_folder tmp2 -name_list "Yield1,Yield2" -nb_rep 5 -flatten -seed 85 -nb_new_data_predict 20 -nb_new_data 2 -parameter_step 2 -n_group 3 -km 5 -ks 2 -save_plot -verbose -->
118 <param name="input_data_csv" value="learner.input.data.1.csv,learner.input.data.2.csv" /> 118 <param name="input_data_csv" value="learner.input.data.1.csv,learner.input.data.2.csv" />
119 <param name="input_param_tsv" value="learner.input.param.tsv" /> 119 <param name="input_param_tsv" value="learner.input.param.tsv" />
120 <param name="name_list" value="Yield1,Yield2" /> 120 <param name="adv|name_list" value="Yield1,Yield2" />
121 <param name="nb_rep" value="5" /> 121 <param name="adv|nb_rep" value="5" />
122 <param name="flatten" value="true" /> 122 <param name="adv|flatten" value="true" />
123 <param name="nb_new_data_predict" value="20" /> 123 <param name="adv|nb_new_data_predict" value="20" />
124 <param name="nb_new_data" value="2" /> 124 <param name="adv|nb_new_data" value="2" />
125 <param name="parameter_step" value="2" /> 125 <param name="adv|parameter_step" value="2" />
126 <param name="n_group" value="3" /> 126 <param name="adv|n_group" value="3" />
127 <param name="km" value="5" /> 127 <param name="adv|km" value="5" />
128 <param name="ks" value="2" /> 128 <param name="adv|ks" value="2" />
129 <!-- <element name="next_sampling_ei5" file="learner.output.data.2.csv" ftype="csv" > --> 129 <!-- <element name="next_sampling_ei5" file="learner.output.data.2.csv" ftype="csv" > -->
130 <output name="output_csv" count="1"> 130 <output name="output_csv" count="1">
131 <assert_contents> 131 <assert_contents>
132 <has_n_lines n="6" /> 132 <has_n_lines n="6" />
133 </assert_contents> 133 </assert_contents>
134 </output> 134 </output>
135 <output_collection name="output_png" type="list" count="4"> 135 <output_collection name="output_png" type="list" count="4">
136 <element name="EI selected"> 136 <element name="EI selected">
137 <assert_contents> 137 <assert_contents>
138 <has_size value="24k" delta="1k"/> 138 <has_size value="24576" delta="5000"/>
139 </assert_contents> 139 </assert_contents>
140 </element> 140 </element>
141 <element name="EI"> 141 <element name="EI">
142 <assert_contents> 142 <assert_contents>
143 <has_size value="36k" delta="1k"/> 143 <has_size value="36864" delta="6000"/>
144 </assert_contents> 144 </assert_contents>
145 </element> 145 </element>
146 <element name="Train_Test"> 146 <element name="Train_Test">
147 <assert_contents> 147 <assert_contents>
148 <has_size value="60k" delta="1k"/> 148 <has_size value="61440" delta="10000"/>
149 </assert_contents> 149 </assert_contents>
150 </element> 150 </element>
151 <element name="Yield evolution through each active learning query"> 151 <element name="Yield evolution through each active learning query">
152 <assert_contents> 152 <assert_contents>
153 <has_size value="19k" delta="1k"/> 153 <has_size value="19456" delta="9000"/>
154 </assert_contents> 154 </assert_contents>
155 </element> 155 </element>
156 </output_collection> 156 </output_collection>
157 </test> 157 </test>
158 </tests> 158 </tests>