Repository revision
6:bde62c243b7e

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

Train, Test and Evaluation tool metadata
Miscellaneous
fit a model using part of dataset and evaluate using the rest
sklearn_train_test_eval
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_train_test_eval/sklearn_train_test_eval/1.0.8.1
1.0.8.1
echo "1.0.8.1"
True
Version lineage of this tool (guids ordered most recent to oldest)
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_train_test_eval/sklearn_train_test_eval/1.0.8.2
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_train_test_eval/sklearn_train_test_eval/1.0.8.1 (this tool)
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_train_test_eval/sklearn_train_test_eval/1.0.7.12
toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_train_test_eval/sklearn_train_test_eval/1.0.7.10
sklearn_train_test_eval
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 experiment_schemes|hyperparams_swapping|param_set_3|sp_value: 'adamax'
experiment_schemes|metrics|scoring|primary_scoring: r2
input_options|column_selector_options_1|selected_column_selector_option: all_columns
experiment_schemes|test_split|split_algos|test_size: 0.2
experiment_schemes|hyperparams_swapping|param_set_0|sp_value: 999
experiment_schemes|selected_exp_scheme: train_val_test
experiment_schemes|val_split|split_algos|shuffle: simple
input_options|column_selector_options_2|selected_column_selector_option2: all_columns
experiment_schemes|hyperparams_swapping|param_set_0|sp_name: layers_0_Dense__config__kernel_initializer__config__seed
experiment_schemes|hyperparams_swapping|infile_params: keras_params04.tabular
input_options|infile2: regression_y.tabular
input_options|infile1: regression_X.tabular
experiment_schemes|metrics|scoring|secondary_scoring: neg_mean_absolute_error
experiment_schemes|val_split|split_algos|test_size: 0.2
experiment_schemes|hyperparams_swapping|param_set_2|sp_name: lr
experiment_schemes|infile_estimator: keras_model04
save: save_weights
experiment_schemes|test_split|split_algos|shuffle: simple
experiment_schemes|val_split|split_algos|random_state: 456
input_options|header1: True
experiment_schemes|hyperparams_swapping|param_set_2|sp_value: 0.1
experiment_schemes|test_split|split_algos|random_state: 123
input_options|header2: True
experiment_schemes|hyperparams_swapping|param_set_3|sp_name: optimizer
experiment_schemes|hyperparams_swapping|param_set_1|sp_name: layers_2_Dense__config__kernel_initializer__config__seed
experiment_schemes|hyperparams_swapping|param_set_1|sp_value: 999
attributes: name
attributes: name
attributes: name
keras_model04
keras_params04.tabular
regression_X.tabular
regression_y.tabular
name
Test-2 experiment_schemes|hyperparams_swapping|param_set_3|sp_value: 'adamax'
experiment_schemes|test_split|split_algos|groups_selector|infile_g: regression_groups.tabular
experiment_schemes|metrics|scoring|primary_scoring: r2
input_options|column_selector_options_1|selected_column_selector_option: all_columns
experiment_schemes|hyperparams_swapping|param_set_0|sp_value: 999
experiment_schemes|selected_exp_scheme: train_val_test
experiment_schemes|val_split|split_algos|shuffle: group
input_options|column_selector_options_2|selected_column_selector_option2: all_columns
experiment_schemes|val_split|split_algos|group_names: validation
experiment_schemes|hyperparams_swapping|param_set_0|sp_name: layers_0_Dense__config__kernel_initializer__config__seed
experiment_schemes|hyperparams_swapping|infile_params: keras_params04.tabular
input_options|infile2: regression_y.tabular
input_options|infile1: regression_X.tabular
experiment_schemes|metrics|scoring|secondary_scoring: neg_mean_absolute_error
experiment_schemes|hyperparams_swapping|param_set_2|sp_name: lr
experiment_schemes|infile_estimator: keras_model04
save: save_weights
experiment_schemes|test_split|split_algos|shuffle: group
experiment_schemes|test_split|split_algos|groups_selector|column_selector_options_g|selected_column_selector_option_g: by_index_number
input_options|header2: True
input_options|header1: True
experiment_schemes|test_split|split_algos|groups_selector|header_g: True
experiment_schemes|hyperparams_swapping|param_set_2|sp_value: 0.1
experiment_schemes|test_split|split_algos|groups_selector|column_selector_options_g|col_g: 1
experiment_schemes|hyperparams_swapping|param_set_3|sp_name: optimizer
experiment_schemes|hyperparams_swapping|param_set_1|sp_name: layers_2_Dense__config__kernel_initializer__config__seed
experiment_schemes|hyperparams_swapping|param_set_1|sp_value: 999
experiment_schemes|test_split|split_algos|group_names: test
attributes: name
attributes: name
keras_model04
keras_params04.tabular
regression_groups.tabular
regression_X.tabular
regression_y.tabular
name
Test-3 experiment_schemes|test_split|split_algos|shuffle: simple
save: nope
input_options|infile2: regression_y.tabular
input_options|infile1: regression_X.tabular
input_options|column_selector_options_1|selected_column_selector_option: all_columns
experiment_schemes|metrics|scoring|primary_scoring: r2
experiment_schemes|hyperparams_swapping|param_set_1|sp_name: adaboostregressor__base_estimator
experiment_schemes|test_split|split_algos|random_state: 123
experiment_schemes|hyperparams_swapping|param_set_1|sp_value: : sklearn_tree.ExtraTreeRegressor(random_state=0)
experiment_schemes|metrics|scoring|secondary_scoring: neg_mean_absolute_error
input_options|header2: True
input_options|header1: True
experiment_schemes|test_split|split_algos|test_size: 0.2
experiment_schemes|hyperparams_swapping|param_set_0|sp_value: 10
experiment_schemes|selected_exp_scheme: train_test
experiment_schemes|infile_estimator: pipeline10
input_options|column_selector_options_2|selected_column_selector_option2: all_columns
experiment_schemes|hyperparams_swapping|param_set_0|sp_name: adaboostregressor__random_state
experiment_schemes|hyperparams_swapping|infile_params: get_params10.tabular
attributes: name
pipeline10
get_params10.tabular
regression_X.tabular
regression_y.tabular
name