Miscellaneous |
Version lineage of this tool (guids ordered most recent to oldest) |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/1.0.8.4 |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/1.0.8.3 (this tool) |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/1.0.8.2 |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/1.0.8.1 |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/0.2.0.1 |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/0.2.0 |
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/0.1.0 |
sklearn_stacking_ensemble_models |
Requirements (dependencies defined in the <requirements> tag set) |
name | version | type |
Galaxy-ML | 0.8.3 | package |
Additional information about this tool |
#for $i, $base in enumerate($base_est_builder) #if $i == 0 #if $base.estimator_selector.selected_module == 'custom_estimator' bases='${base.estimator_selector.c_estimator}'; #else bases='None'; #end if #elif $base.estimator_selector.selected_module == 'custom_estimator' bases="\$bases,${base.estimator_selector.c_estimator}"; #else bases="\$bases,None"; #end if #end for python '$__tool_directory__/stacking_ensembles.py' --inputs '$inputs' --outfile '$outfile' --bases "\$bases" #if $algo_selection.estimator_type not in ('sklearn.ensemble_VotingClassifier', 'sklearn.ensemble_VotingRegressor') #if $algo_selection.meta_estimator.estimator_selector.selected_module == 'custom_estimator' --meta '${algo_selection.meta_estimator.estimator_selector.c_estimator}' #end if #end if #if $get_params --outfile_params '$outfile_params' #end if
Functional tests |
name | inputs | outputs | required files |
Test-1 |
algo_selection|options|weights: [1, 2] algo_selection|estimator_type: sklearn.ensemble_VotingClassifier base_est_builder_0|estimator_selector|selected_estimator: SVC base_est_builder_0|estimator_selector|selected_module: svm base_est_builder_1|estimator_selector|selected_estimator: XGBClassifier base_est_builder_1|estimator_selector|selected_module: xgboost get_params: False |
name: value |
value |
Test-2 |
algo_selection|meta_estimator|estimator_selector|c_estimator: LinearRegression01.zip algo_selection|meta_estimator|estimator_selector|selected_module: custom_estimator algo_selection|estimator_type: mlxtend.regressor_StackingCVRegressor base_est_builder_0|estimator_selector|c_estimator: RandomForestRegressor01.zip base_est_builder_0|estimator_selector|selected_module: custom_estimator base_est_builder_1|estimator_selector|c_estimator: XGBRegressor01.zip base_est_builder_1|estimator_selector|selected_module: custom_estimator get_params: False |
name: value |
LinearRegression01.zip RandomForestRegressor01.zip XGBRegressor01.zip value |
Test-3 |
algo_selection|meta_estimator|estimator_selector|selected_estimator: SVR algo_selection|meta_estimator|estimator_selector|selected_module: svm algo_selection|estimator_type: mlxtend.regressor_StackingRegressor base_est_builder_0|estimator_selector|c_estimator: RandomForestRegressor01.zip base_est_builder_0|estimator_selector|selected_module: custom_estimator base_est_builder_1|estimator_selector|selected_estimator: XGBRegressor base_est_builder_1|estimator_selector|selected_module: xgboost get_params: False |
name: value |
RandomForestRegressor01.zip value |