Repository revision
15:33d2606fdb3f

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

Model Validation tool metadata
Miscellaneous
evaluates estimator performance by cross-validation
sklearn_model_validation
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_model_validation/sklearn_model_validation/0.9
0.9
echo "0.9"
True
Version lineage of this tool (guids ordered most recent to oldest)
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_model_validation/sklearn_model_validation/1.0
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_model_validation/sklearn_model_validation/0.9 (this tool)
sklearn_model_validation
Requirements (dependencies defined in the <requirements> tag set)
name version type
python 3.6 package
scikit-learn 0.19.1 package
pandas 0.22.0 package
xgboost 0.72.1 package
asteval 0.9.12 package
Functional tests
name inputs outputs required files
Test-1 model_validation_functions|selected_function: cross_validate
model_validation_functions|estimator_selector|selected_module: linear_model
input_options|infile1: regression_train.tabular
model_validation_functions|estimator_selector|selected_estimator: LassoCV
input_options|column_selector_options_1|col1: ['1', '2', '3', '4', '5']
input_options|column_selector_options_2|col2: 6
input_options|infile2: regression_train.tabular
attributes: name
regression_train.tabular
name
Test-2 model_validation_functions|selected_function: cross_val_predict
model_validation_functions|estimator_selector|selected_module: linear_model
input_options|infile1: regression_train.tabular
model_validation_functions|estimator_selector|selected_estimator: LassoCV
input_options|column_selector_options_1|col1: ['1', '2', '3', '4', '5']
input_options|column_selector_options_2|col2: 6
input_options|infile2: regression_train.tabular
attributes: name
regression_train.tabular
name
Test-3 model_validation_functions|selected_function: cross_val_score
model_validation_functions|estimator_selector|selected_module: linear_model
input_options|infile1: regression_train.tabular
model_validation_functions|estimator_selector|selected_estimator: LassoCV
input_options|column_selector_options_1|col1: ['1', '2', '3', '4', '5']
input_options|column_selector_options_2|col2: 6
input_options|infile2: regression_train.tabular
attributes: name
regression_train.tabular
name
Test-4 model_validation_functions|selected_function: learning_curve
model_validation_functions|estimator_selector|selected_module: linear_model
input_options|infile1: regression_X.tabular
input_options|header2: True
input_options|header1: True
model_validation_functions|estimator_selector|selected_estimator: LassoCV
input_options|column_selector_options_1|col1: ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17']
input_options|column_selector_options_2|col2: 1
input_options|infile2: regression_y.tabular
attributes: name
regression_X.tabular
regression_y.tabular
name
Test-5 model_validation_functions|selected_function: permutation_test_score
model_validation_functions|estimator_selector|selected_module: linear_model
input_options|infile1: regression_train.tabular
model_validation_functions|estimator_selector|selected_estimator: LassoCV
input_options|column_selector_options_1|col1: ['1', '2', '3', '4', '5']
input_options|column_selector_options_2|col2: 6
input_options|infile2: regression_train.tabular
attributes: name
regression_train.tabular
name
Test-6 model_validation_functions|estimator_selector|text_params: kernel='linear'
model_validation_functions|selected_function: validation_curve
model_validation_functions|estimator_selector|selected_module: svm
input_options|infile1: regression_X.tabular
input_options|column_selector_options_1|selected_column_selector_option: all_columns
input_options|header2: True
input_options|header1: True
model_validation_functions|estimator_selector|selected_estimator: SVC
model_validation_functions|return_type: test_scores
input_options|column_selector_options_2|col2: 1
input_options|infile2: regression_y.tabular
attributes: name
regression_X.tabular
regression_y.tabular
name