Repository revision
9:b78007bf1cb8

Repository 'sklearn_stacking_ensemble_models'
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models

Stacking Ensembles tool metadata
Miscellaneous
builds stacking, voting ensemble models with numerous base options
sklearn_stacking_ensemble_models
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/1.0.8.2
1.0.8.2
echo "$ENSEMBLE_VERSION"
True
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/1.0.8.3
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_stacking_ensemble_models/sklearn_stacking_ensemble_models/1.0.8.2 (this tool)
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
python 3.6 package
Galaxy-ML 0.8.1 package
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