annotate model.py @ 4:a609d6dc8047 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 7ad344d108076116e702e1c1e91cea73d8fcadc4
author rnateam
date Thu, 28 Jul 2016 05:55:25 -0400
parents 8918de535391
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8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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1 """Recommender model."""
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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2 from __future__ import print_function
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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4 import sys
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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6 import numpy as np
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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7
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a609d6dc8047 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 7ad344d108076116e702e1c1e91cea73d8fcadc4
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8 from theano import function, shared
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9 import theano.tensor as T
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11 __author__ = "Gianluca Corrado"
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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12 __copyright__ = "Copyright 2016, Gianluca Corrado"
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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13 __license__ = "MIT"
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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14 __maintainer__ = "Gianluca Corrado"
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15 __email__ = "gianluca.corrado@unitn.it"
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16 __status__ = "Production"
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19 class Model():
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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20 """Factorization model."""
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22 def __init__(self, sp, sr, kp, kr, irange=0.01, learning_rate=0.01,
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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23 lambda_reg=0.01, verbose=True, seed=1234):
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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24 """
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25 Constructor.
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27 Parameters
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28 ----------
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29 sp : int
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30 Number of protein features.
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32 sr : int
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33 Number of RNA features.
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34
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35 kp : int
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36 Size of the protein latent space.
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38 kr : int
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39 Size of the RNA latent space.
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41 irange : float (default : 0.01)
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42 Initialization range for the model weights.
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44 learning_rate : float (default : 0.01)
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45 Learning rate for the weights update.
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46
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47 lambda_reg : (default : 0.01)
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48 Lambda parameter for the regularization.
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49
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50 verbose : bool (default : True)
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51 Print information at STDOUT.
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53 seed : int (default : 1234)
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54 Seed for random number generator.
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55 """
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56 if verbose:
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57 print("Compiling model...", end=' ')
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58 sys.stdout.flush()
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59
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60 self.learning_rate = learning_rate
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61 self.lambda_reg = lambda_reg
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62 np.random.seed(seed)
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63 # explictit features for proteins
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64 fp = T.matrix("Fp", dtype='float32')
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65 # explictit features for RNAs
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66 fr = T.matrix("Fr", dtype='float32')
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67 # Correct label
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68 y = T.vector("y")
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69
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70 # projection matrix for proteins
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71 self.Ap = shared(((.5 - np.random.rand(kp, sp)) *
4
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72 irange).astype('float32'), name="Ap")
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73 self.bp = shared(((.5 - np.random.rand(kp)) *
4
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74 irange).astype('float32'), name="bp")
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75 # projection matrix for RNAs
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76 self.Ar = shared(((.5 - np.random.rand(kr, sr)) *
4
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77 irange).astype('float32'), name="Ar")
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78 self.br = shared(((.5 - np.random.rand(kr)) *
4
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79 irange).astype('float32'), name="br")
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80 # generalization matrix
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81 self.B = shared(((.5 - np.random.rand(kp, kr)) *
4
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82 irange).astype('float32'), name="B")
0
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83
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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84 # Latent space for proteins
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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85 p = T.nnet.sigmoid(T.dot(fp, self.Ap.T) + self.bp)
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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86 # Latent space for RNAs
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87 r = T.nnet.sigmoid(T.dot(fr, self.Ar.T) + self.br)
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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88 # Predicted output
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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89 y_hat = T.nnet.sigmoid(T.sum(T.dot(p, self.B) * r, axis=1))
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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90
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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91 def _regularization():
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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92 """Normalized Frobenius norm."""
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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93 norm_proteins = self.Ap.norm(2) + self.bp.norm(2)
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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94 norm_rnas = self.Ar.norm(2) + self.br.norm(2)
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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95 norm_b = self.B.norm(2)
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96
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97 num_proteins = self.Ap.flatten().shape[0] + self.bp.shape[0]
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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98 num_rnas = self.Ar.flatten().shape[0] + self.br.shape[0]
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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99 num_b = self.B.flatten().shape[0]
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100
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101 return (norm_proteins / num_proteins + norm_rnas / num_rnas +
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102 norm_b / num_b) / 3
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103
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104 # mean squared error
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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105 cost_ = (T.sqr(y - y_hat)).mean()
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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106 reg = lambda_reg * _regularization()
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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107 cost = cost_ + reg
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108
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109 # compute sgd updates
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110 g_Ap, g_bp, g_Ar, g_br, g_B = T.grad(
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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111 cost, [self.Ap, self.bp, self.Ar, self.br, self.B])
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112 updates = ((self.Ap, self.Ap - learning_rate * g_Ap),
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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113 (self.bp, self.bp - learning_rate * g_bp),
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114 (self.Ar, self.Ar - learning_rate * g_Ar),
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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115 (self.br, self.br - learning_rate * g_br),
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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116 (self.B, self.B - learning_rate * g_B))
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117
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118 # training step
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119 self.train = function(
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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120 inputs=[fp, fr, y],
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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121 outputs=[y_hat, cost],
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122 updates=updates)
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123 # test
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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124 self.test = function(
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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125 inputs=[fp, fr, y],
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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126 outputs=[y_hat, cost])
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127
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128 # predict
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129 self.predict = function(
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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130 inputs=[fp, fr],
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131 outputs=y_hat)
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132
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133 if verbose:
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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134 print("Done.")
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135 sys.stdout.flush()
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136
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137 def get_params(self):
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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138 """Return the parameters of the model."""
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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139 return {'Ap': self.Ap.get_value(), 'bp': self.bp.get_value(),
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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140 'Ar': self.Ar.get_value(), 'br': self.br.get_value(),
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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141 'B': self.B.get_value()}