| Miscellaneous |
| Version lineage of this tool (guids ordered most recent to oldest) |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.11.0 (this tool) |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.10.0 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.8.4 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.8.3 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.8.2 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.8.1 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.7.12 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.7.10 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0.0.4 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/1.0 |
| toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_data_preprocess/sklearn_data_preprocess/0.9 |
| sklearn_data_preprocess |
| Requirements (dependencies defined in the <requirements> tag set) |
| name | version | type |
| python | 3.9 | package |
| galaxy-ml | 0.10.0 | package |
| Additional information about this tool |
python "$pre_processor_script" '$inputs'
| Functional tests |
| name | inputs | outputs | required files |
| Test-1 |
input_type|infile: train.tabular input_type|column_selector_options_1|selected_column_selector_option: all_columns input_type|pre_processors|options|n_quantiles: 10 input_type|pre_processors|options|subsample: 100 input_type|pre_processors|options|random_state: 200 input_type|pre_processors|selected_pre_processor: QuantileTransformer input_type|selected_input_type: tabular save: True |
name: value name: value |
train.tabular value |
| Test-2 |
input_type|infile: train.tabular input_type|column_selector_options_1|selected_column_selector_option: all_columns input_type|pre_processors|selected_pre_processor: MinMaxScaler input_type|selected_input_type: tabular save: True |
name: value name: value |
train.tabular value |
| Test-3 |
input_type|infile: train.tabular input_type|column_selector_options_1|selected_column_selector_option: all_columns input_type|pre_processors|selected_pre_processor: PolynomialFeatures input_type|selected_input_type: tabular save: True |
name: value name: value |
train.tabular value |
| Test-4 |
input_type|infile: train.tabular input_type|column_selector_options_1|selected_column_selector_option: all_columns input_type|pre_processors|selected_pre_processor: RobustScaler input_type|selected_input_type: tabular save: True |
name: value name: value |
train.tabular value |
| Test-5 |
input_type|infile: csr_sparse2.mtx input_type|pre_processors|selected_pre_processor: Binarizer input_type|selected_input_type: sparse save: True |
name: value name: value |
csr_sparse2.mtx value |
| Test-6 |
input_type|infile: train.tabular input_type|column_selector_options_1|selected_column_selector_option: all_columns input_type|pre_processors|selected_pre_processor: StandardScaler input_type|selected_input_type: tabular save: True |
name: value name: value |
train.tabular value |
| Test-7 |
input_type|infile: csr_sparse2.mtx input_type|pre_processors|selected_pre_processor: MaxAbsScaler input_type|selected_input_type: sparse save: True |
name: value name: value |
csr_sparse2.mtx value |
| Test-8 |
input_type|infile: csr_sparse2.mtx input_type|pre_processors|selected_pre_processor: Normalizer input_type|selected_input_type: sparse save: True |
name: value name: value |
csr_sparse2.mtx value |
| Test-9 |
input_type|infile: regression_X.tabular input_type|header1: True input_type|column_selector_options_1|selected_column_selector_option: all_columns input_type|pre_processors|options|feature_range: (-1, 1) input_type|pre_processors|selected_pre_processor: MinMaxScaler input_type|selected_input_type: tabular save: False |
name: value |
regression_X.tabular value |