annotate train_test_eval.xml @ 9:ead7adad8d0e draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
author bgruening
date Tue, 13 Apr 2021 18:45:35 +0000
parents 1b68acd5ac08
children 2eb5c017958d
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1 <tool id="sklearn_train_test_eval" name="Train, Test and Evaluation" version="@VERSION@" profile="20.05">
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2 <description>fit a model using part of dataset and evaluate using the rest</description>
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3 <macros>
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4 <import>main_macros.xml</import>
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5 <import>keras_macros.xml</import>
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6 </macros>
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7 <expand macro="python_requirements" />
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8 <expand macro="macro_stdio" />
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9 <version_command>echo "@VERSION@"</version_command>
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10 <command detect_errors="aggressive">
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11 <![CDATA[
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12 export HDF5_USE_FILE_LOCKING='FALSE';
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13 #if $input_options.selected_input == 'refseq_and_interval'
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14 bgzip -c '$input_options.target_file' > '${target_file.element_identifier}.gz' &&
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15 tabix -p bed '${target_file.element_identifier}.gz' &&
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16 #end if
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17 python '$__tool_directory__/train_test_eval.py'
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18 --inputs '$inputs'
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19 --estimator '$experiment_schemes.infile_estimator'
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20 #if $input_options.selected_input == 'seq_fasta'
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21 --fasta_path '$input_options.fasta_path'
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22 #elif $input_options.selected_input == 'refseq_and_interval'
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23 --ref_seq '$input_options.ref_genome_file'
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24 --interval '$input_options.interval_file'
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25 --targets "`pwd`/${target_file.element_identifier}.gz"
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26 #else
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27 --infile1 '$input_options.infile1'
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28 #end if
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29 --infile2 '$input_options.infile2'
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30 --outfile_result "`pwd`/tmp_outfile_result"
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31 #if $save != 'nope'
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32 --outfile_object '$outfile_object'
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33 #end if
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34 #if $save == 'save_weights'
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35 --outfile_weights '$outfile_weights'
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36 #end if
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37 #if $experiment_schemes.test_split.split_algos.shuffle == 'group'
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38 --groups '$experiment_schemes.test_split.split_algos.groups_selector.infile_g'
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39 #end if
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40 >'$outfile_result' && cp tmp_outfile_result '$outfile_result';
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41
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42 ]]>
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43 </command>
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44 <configfiles>
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45 <inputs name="inputs" />
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46 </configfiles>
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47 <inputs>
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48 <conditional name="experiment_schemes">
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49 <param name="selected_exp_scheme" type="select" label="Select a scheme">
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50 <option value="train_test" selected="true">Train and Test</option>
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51 <option value="train_val_test">Train, Validate and Test</option>
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52 </param>
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53 <when value="train_test">
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54 <expand macro="estimator_and_hyperparameter" />
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55 <section name="test_split" title="Test holdout" expanded="false">
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56 <expand macro="train_test_split_params">
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57 <expand macro="cv_groups" />
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58 </expand>
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59 </section>
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60 <section name="metrics" title="Metrics for evaluation" expanded="false">
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61 <expand macro="scoring_selection" />
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62 </section>
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63 </when>
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64 <when value="train_val_test">
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65 <expand macro="estimator_and_hyperparameter" />
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66 <section name="test_split" title="Test holdout" expanded="false">
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67 <expand macro="train_test_split_params">
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68 <expand macro="cv_groups" />
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69 </expand>
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70 </section>
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71 <section name="val_split" title="Validation holdout (recommend using the same method for both validation and test)" expanded="false">
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72 <expand macro="train_test_split_params" />
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73 </section>
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74 <section name="metrics" title="Metrics for evaluation" expanded="false">
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75 <expand macro="scoring_selection" />
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76 </section>
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77 </when>
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78 </conditional>
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79 <expand macro="sl_mixed_input_plus_sequence" />
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80 <param name="save" type="select" label="Save the fitted model" help="For security reason, deep learning models will be saved into two datasets, model skeleton and weights.">
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81 <option value="nope" selected="true">Nope, save is unnecessary</option>
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82 <option value="save_estimator">Fitted whole estimator (excluding deep learning)</option>
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83 <option value="save_weights">Model skeleton and weights, for deep learning exclusively</option>
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84 </param>
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85 </inputs>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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86 <outputs>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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87 <data format="tabular" name="outfile_result" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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88 <data format="zip" name="outfile_object" label="Fitted estimator or estimator skeleton on ${on_string}">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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89 <filter>save != 'nope'</filter>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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90 </data>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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91 <data format="h5" name="outfile_weights" label="Weights trained on ${on_string}">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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92 <filter>save == 'save_weights'</filter>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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93 </data>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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94 </outputs>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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95 <tests>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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96 <test>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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97 <conditional name="experiment_schemes">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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98 <param name="selected_exp_scheme" value="train_val_test" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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99 <param name="infile_estimator" value="keras_model04" ftype="zip" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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100 <section name="hyperparams_swapping">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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101 <param name="infile_params" value="keras_params04.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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102 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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103 <param name="sp_value" value="999" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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104 <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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105 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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106 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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107 <param name="sp_value" value="999" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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108 <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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109 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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110 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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111 <param name="sp_value" value="0.1" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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112 <param name="sp_name" value="lr" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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113 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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114 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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115 <param name="sp_value" value="'adamax'" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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116 <param name="sp_name" value="optimizer" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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117 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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118 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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119 <section name="test_split">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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120 <conditional name="split_algos">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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121 <param name="shuffle" value="simple" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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122 <param name="test_size" value="0.2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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123 <param name="random_state" value="123" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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124 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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125 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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126 <section name="val_split">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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127 <conditional name="split_algos">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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128 <param name="shuffle" value="simple" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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129 <param name="test_size" value="0.2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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130 <param name="random_state" value="456" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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131 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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132 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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133 <section name="metrics">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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134 <conditional name="scoring">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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135 <param name="primary_scoring" value="r2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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136 <param name="secondary_scoring" value="neg_mean_absolute_error" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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137 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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138 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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139 </conditional>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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140 <param name="infile1" value="regression_X.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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141 <param name="header1" value="true" />
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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142 <param name="selected_column_selector_option" value="all_columns" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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143 <param name="infile2" value="regression_y.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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144 <param name="header2" value="true" />
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
145 <param name="selected_column_selector_option2" value="all_columns" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
146 <param name="save" value="save_weights" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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147 <output name="outfile_result">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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148 <assert_contents>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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149 <has_n_columns n="2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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150 <has_text text="0.6384" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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151 <has_text text="-6.072" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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152 </assert_contents>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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153 </output>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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154 <output name="outfile_object" file="train_test_eval_model01" compare="sim_size" delta="5" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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155 <output name="outfile_weights" file="train_test_eval_weights01.h5" compare="sim_size" delta="5" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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156 </test>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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157 <test>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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158 <conditional name="experiment_schemes">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
159 <param name="selected_exp_scheme" value="train_val_test" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
160 <param name="infile_estimator" value="keras_model04" ftype="zip" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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161 <section name="hyperparams_swapping">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
162 <param name="infile_params" value="keras_params04.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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163 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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164 <param name="sp_value" value="999" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
165 <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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166 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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167 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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168 <param name="sp_value" value="999" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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169 <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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170 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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171 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
172 <param name="sp_value" value="0.1" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
173 <param name="sp_name" value="lr" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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174 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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175 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
176 <param name="sp_value" value="'adamax'" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
177 <param name="sp_name" value="optimizer" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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178 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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179 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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180 <section name="test_split">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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181 <conditional name="split_algos">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
182 <param name="shuffle" value="group" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
183 <param name="group_names" value="test" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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184 <section name="groups_selector">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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185 <param name="infile_g" value="regression_groups.tabular" ftype="tabular" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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186 <param name="header_g" value="true" />
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68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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187 <conditional name="column_selector_options_g">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
188 <param name="selected_column_selector_option_g" value="by_index_number" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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189 <param name="col_g" value="1" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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190 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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191 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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192 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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193 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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194 <section name="val_split">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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195 <conditional name="split_algos">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
196 <param name="shuffle" value="group" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
197 <param name="group_names" value="validation" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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198 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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199 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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diff changeset
200 <section name="metrics">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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201 <conditional name="scoring">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
202 <param name="primary_scoring" value="r2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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203 <param name="secondary_scoring" value="neg_mean_absolute_error" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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204 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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205 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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206 </conditional>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
207 <param name="infile1" value="regression_X.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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208 <param name="header1" value="true" />
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
209 <param name="selected_column_selector_option" value="all_columns" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
210 <param name="infile2" value="regression_y.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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211 <param name="header2" value="true" />
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
212 <param name="selected_column_selector_option2" value="all_columns" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
213 <param name="save" value="save_weights" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
214 <output name="outfile_result">
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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215 <assert_contents>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
216 <has_n_columns n="2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
217 <has_text text="0.627" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
218 <has_text text="-6.012" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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219 </assert_contents>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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220 </output>
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
221 <output name="outfile_weights" file="train_test_eval_weights02.h5" compare="sim_size" delta="5" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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222 </test>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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223 <test>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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224 <conditional name="experiment_schemes">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
225 <param name="selected_exp_scheme" value="train_test" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
226 <param name="infile_estimator" value="pipeline10" ftype="zip" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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227 <section name="hyperparams_swapping">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
228 <param name="infile_params" value="get_params10.tabular" ftype="tabular" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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229 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
230 <param name="sp_value" value="10" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
231 <param name="sp_name" value="adaboostregressor__random_state" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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232 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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233 <repeat name="param_set">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
bgruening
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diff changeset
234 <param name="sp_value" value=": sklearn_tree.ExtraTreeRegressor(random_state=0)" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
235 <param name="sp_name" value="adaboostregressor__base_estimator" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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236 </repeat>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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237 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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238 <section name="test_split">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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239 <conditional name="split_algos">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
240 <param name="shuffle" value="simple" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
241 <param name="test_size" value="0.2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
242 <param name="random_state" value="123" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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243 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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244 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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245 <section name="val_split">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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246 <conditional name="split_algos">
9
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
247 <param name="shuffle" value="simple" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
248 <param name="test_size" value="0.2" />
ead7adad8d0e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit e2a5eade6d0e5ddf3a47630381a0ad90d80e8a04"
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diff changeset
249 <param name="random_state" value="456" />
0
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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250 </conditional>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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251 </section>
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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252 <section name="metrics">
68aaa903052a planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
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253 <conditional name="scoring">
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254 <param name="primary_scoring" value="r2" />
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255 <param name="secondary_scoring" value="neg_mean_absolute_error" />
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256 </conditional>
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257 </section>
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258 </conditional>
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259 <param name="infile1" value="regression_X.tabular" ftype="tabular" />
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260 <param name="header1" value="true" />
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261 <param name="selected_column_selector_option" value="all_columns" />
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262 <param name="infile2" value="regression_y.tabular" ftype="tabular" />
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263 <param name="header2" value="true" />
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264 <param name="selected_column_selector_option2" value="all_columns" />
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265 <param name="save" value="nope" />
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266 <output name="outfile_result" file="train_test_eval03.tabular" />
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267 </test>
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268 </tests>
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269 <help>
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270 <![CDATA[
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271 **What it does**
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272
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273 Given an estimator and dataset, this tool fits the estimator with part of the datasets and evalue the performance of the fitted estimator on the rest of the datasets. It consists of two modes: train-test and train-val-test.
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274
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275 - train-test: data sets will be split into train and test portions. Estimator is training on the train portion, and performance is evaluated on the test portion.
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276
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277 - train-val-test: data sets are split into three portions, train, val and test. Validations happen along with the training process, which is often useful in **deep learnings**.
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278
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279 **Output**
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280
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281 Performance scores.
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282
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283 ]]>
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284 </help>
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285 <expand macro="sklearn_citation">
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286 <expand macro="skrebate_citation" />
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287 <expand macro="xgboost_citation" />
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288 <expand macro="keras_citation" />
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289 </expand>
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290 </tool>