Mercurial > repos > bgruening > sklearn_ensemble
diff ensemble.xml @ 27:5af731ab6995 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
author | bgruening |
---|---|
date | Sun, 30 Dec 2018 01:40:24 -0500 |
parents | 8d0d31567045 |
children | 9eaf13ccab4d |
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--- a/ensemble.xml Thu Oct 11 03:22:26 2018 -0400 +++ b/ensemble.xml Sun Dec 30 01:40:24 2018 -0500 @@ -100,7 +100,7 @@ <when value="RandomForestClassifier"> <expand macro="sl_mixed_input"/> <section name="options" title="Advanced Options" expanded="False"> - <expand macro="n_estimators"/> + <expand macro="n_estimators" default_value="100"/> <expand macro="criterion"/> <expand macro="max_features"/> <expand macro="max_depth"/> @@ -158,7 +158,7 @@ <when value="RandomForestRegressor"> <expand macro="sl_mixed_input"/> <section name="options" title="Advanced Options" expanded="False"> - <expand macro="n_estimators"/> + <expand macro="n_estimators" default_value="100"/> <expand macro="criterion2"/> <expand macro="max_features"/> <expand macro="max_depth"/> @@ -232,13 +232,13 @@ <param name="selected_task" value="train"/> <param name="selected_algorithm" value="RandomForestClassifier"/> <param name="random_state" value="10"/> - <output name="outfile_fit" file="rfc_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="rfc_model01" compare="sim_size" delta="5"/> </test> <test> <param name="infile_model" value="rfc_model01" ftype="zip"/> <param name="infile_data" value="test.tabular" ftype="tabular"/> <param name="selected_task" value="load"/> - <output name="outfile_predict" file="rfc_result01" compare="sim_size" delta="500"/> + <output name="outfile_predict" file="rfc_result01"/> </test> <test> <param name="infile1" value="regression_train.tabular" ftype="tabular"/> @@ -248,13 +248,13 @@ <param name="selected_task" value="train"/> <param name="selected_algorithm" value="RandomForestRegressor"/> <param name="random_state" value="10"/> - <output name="outfile_fit" file="rfr_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="rfr_model01" compare="sim_size" delta="5"/> </test> <test> <param name="infile_model" value="rfr_model01" ftype="zip"/> <param name="infile_data" value="regression_test.tabular" ftype="tabular"/> <param name="selected_task" value="load"/> - <output name="outfile_predict" file="rfr_result01" compare="sim_size" delta="500"/> + <output name="outfile_predict" file="rfr_result01"/> </test> <test> <param name="infile1" value="regression_X.tabular" ftype="tabular"/> @@ -268,14 +268,14 @@ <param name="max_features" value="number_input"/> <param name="num_max_features" value="0.5"/> <param name="random_state" value="42"/> - <output name="outfile_fit" file="gbr_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="gbr_model01" compare="sim_size" delta="5"/> </test> <test> <param name="infile_model" value="gbr_model01" ftype="zip"/> <param name="infile_data" value="regression_test_X.tabular" ftype="tabular"/> <param name="selected_task" value="load"/> <param name="header" value="True"/> - <output name="outfile_predict" file="gbr_prediction_result01.tabular" compare="sim_size" delta="500"/> + <output name="outfile_predict" file="gbr_prediction_result01.tabular"/> </test> <test> <param name="infile1" value="train.tabular" ftype="tabular"/> @@ -284,13 +284,13 @@ <param name="col2" value="5"/> <param name="selected_task" value="train"/> <param name="selected_algorithm" value="GradientBoostingClassifier"/> - <output name="outfile_fit" file="gbc_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="gbc_model01" compare="sim_size" delta="5"/> </test> <test> <param name="infile_model" value="gbc_model01" ftype="zip"/> <param name="infile_data" value="test.tabular" ftype="tabular"/> <param name="selected_task" value="load"/> - <output name="outfile_predict" file="gbc_result01" compare="sim_size" delta="500"/> + <output name="outfile_predict" file="gbc_result01"/> </test> <test> <param name="infile1" value="train.tabular" ftype="tabular"/> @@ -300,13 +300,13 @@ <param name="selected_task" value="train"/> <param name="selected_algorithm" value="AdaBoostClassifier"/> <param name="random_state" value="10"/> - <output name="outfile_fit" file="abc_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="abc_model01" compare="sim_size" delta="5"/> </test> <test> <param name="infile_model" value="abc_model01" ftype="zip"/> <param name="infile_data" value="test.tabular" ftype="tabular"/> <param name="selected_task" value="load"/> - <output name="outfile_predict" file="abc_result01" compare="sim_size" delta="500"/> + <output name="outfile_predict" file="abc_result01"/> </test> <test> <param name="infile1" value="regression_train.tabular" ftype="tabular"/> @@ -316,13 +316,13 @@ <param name="selected_task" value="train"/> <param name="selected_algorithm" value="AdaBoostRegressor"/> <param name="random_state" value="10"/> - <output name="outfile_fit" file="abr_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="abr_model01" compare="sim_size" delta="5"/> </test> <test> <param name="infile_model" value="abr_model01" ftype="zip"/> <param name="infile_data" value="regression_test.tabular" ftype="tabular"/> <param name="selected_task" value="load"/> - <output name="outfile_predict" file="abr_result01" compare="sim_size" delta="500"/> + <output name="outfile_predict" file="abr_result01"/> </test> </tests> <help><![CDATA[