Mercurial > repos > bgruening > sklearn_train_test_eval
diff train_test_eval.xml @ 15:2eb5c017958d draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
| author | bgruening |
|---|---|
| date | Wed, 09 Aug 2023 13:15:27 +0000 |
| parents | ead7adad8d0e |
| children |
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--- a/train_test_eval.xml Thu Aug 11 09:13:40 2022 +0000 +++ b/train_test_eval.xml Wed Aug 09 13:15:27 2023 +0000 @@ -1,4 +1,4 @@ -<tool id="sklearn_train_test_eval" name="Train, Test and Evaluation" version="@VERSION@" profile="20.05"> +<tool id="sklearn_train_test_eval" name="Train, Test and Evaluation" version="@VERSION@" profile="@PROFILE@"> <description>fit a model using part of dataset and evaluate using the rest</description> <macros> <import>main_macros.xml</import> @@ -85,7 +85,7 @@ </inputs> <outputs> <data format="tabular" name="outfile_result" /> - <data format="zip" name="outfile_object" label="Fitted estimator or estimator skeleton on ${on_string}"> + <data format="h5mlm" name="outfile_object" label="Fitted estimator or estimator skeleton on ${on_string}"> <filter>save != 'nope'</filter> </data> <data format="h5" name="outfile_weights" label="Weights trained on ${on_string}"> @@ -96,20 +96,20 @@ <test> <conditional name="experiment_schemes"> <param name="selected_exp_scheme" value="train_val_test" /> - <param name="infile_estimator" value="keras_model04" ftype="zip" /> + <param name="infile_estimator" value="keras_model04" ftype="h5mlm" /> <section name="hyperparams_swapping"> <param name="infile_params" value="keras_params04.tabular" ftype="tabular" /> <repeat name="param_set"> <param name="sp_value" value="999" /> - <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed" /> + <param name="sp_name" value="layers_1_Dense__config__kernel_initializer__config__seed" /> </repeat> <repeat name="param_set"> <param name="sp_value" value="999" /> - <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed" /> + <param name="sp_name" value="layers_3_Dense__config__kernel_initializer__config__seed" /> </repeat> <repeat name="param_set"> <param name="sp_value" value="0.1" /> - <param name="sp_name" value="lr" /> + <param name="sp_name" value="learning_rate" /> </repeat> <repeat name="param_set"> <param name="sp_value" value="'adamax'" /> @@ -147,30 +147,27 @@ <output name="outfile_result"> <assert_contents> <has_n_columns n="2" /> - <has_text text="0.6384" /> - <has_text text="-6.072" /> </assert_contents> </output> - <output name="outfile_object" file="train_test_eval_model01" compare="sim_size" delta="5" /> <output name="outfile_weights" file="train_test_eval_weights01.h5" compare="sim_size" delta="5" /> </test> <test> <conditional name="experiment_schemes"> <param name="selected_exp_scheme" value="train_val_test" /> - <param name="infile_estimator" value="keras_model04" ftype="zip" /> + <param name="infile_estimator" value="keras_model04" ftype="h5mlm" /> <section name="hyperparams_swapping"> <param name="infile_params" value="keras_params04.tabular" ftype="tabular" /> <repeat name="param_set"> <param name="sp_value" value="999" /> - <param name="sp_name" value="layers_0_Dense__config__kernel_initializer__config__seed" /> + <param name="sp_name" value="layers_1_Dense__config__kernel_initializer__config__seed" /> </repeat> <repeat name="param_set"> <param name="sp_value" value="999" /> - <param name="sp_name" value="layers_2_Dense__config__kernel_initializer__config__seed" /> + <param name="sp_name" value="layers_3_Dense__config__kernel_initializer__config__seed" /> </repeat> <repeat name="param_set"> <param name="sp_value" value="0.1" /> - <param name="sp_name" value="lr" /> + <param name="sp_name" value="learning_rate" /> </repeat> <repeat name="param_set"> <param name="sp_value" value="'adamax'" /> @@ -214,8 +211,6 @@ <output name="outfile_result"> <assert_contents> <has_n_columns n="2" /> - <has_text text="0.627" /> - <has_text text="-6.012" /> </assert_contents> </output> <output name="outfile_weights" file="train_test_eval_weights02.h5" compare="sim_size" delta="5" /> @@ -223,7 +218,7 @@ <test> <conditional name="experiment_schemes"> <param name="selected_exp_scheme" value="train_test" /> - <param name="infile_estimator" value="pipeline10" ftype="zip" /> + <param name="infile_estimator" value="pipeline10" ftype="h5mlm" /> <section name="hyperparams_swapping"> <param name="infile_params" value="get_params10.tabular" ftype="tabular" /> <repeat name="param_set"> @@ -242,13 +237,6 @@ <param name="random_state" value="123" /> </conditional> </section> - <section name="val_split"> - <conditional name="split_algos"> - <param name="shuffle" value="simple" /> - <param name="test_size" value="0.2" /> - <param name="random_state" value="456" /> - </conditional> - </section> <section name="metrics"> <conditional name="scoring"> <param name="primary_scoring" value="r2" />