Mercurial > repos > bgruening > sklearn_model_validation
changeset 6:8518fdc23c7e draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364
author | bgruening |
---|---|
date | Mon, 09 Jul 2018 14:33:52 -0400 (2018-07-09) |
parents | 510aa2ce035e |
children | 57a7471292df |
files | main_macros.xml |
diffstat | 1 files changed, 39 insertions(+), 28 deletions(-) [+] |
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--- a/main_macros.xml Sun Jul 01 03:21:23 2018 -0400 +++ b/main_macros.xml Mon Jul 09 14:33:52 2018 -0400 @@ -64,6 +64,45 @@ return new_selector </token> + <token name="@GET_X_y_FUNCTION@"> +def get_X_y(params, file1, file2): + input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"] + if input_type=="tabular": + header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None + column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"] + if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]: + c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["col1"] + else: + c = None + X = read_columns( + file1, + c = c, + c_option = column_option, + sep='\t', + header=header, + parse_dates=True + ) + else: + X = mmread(open(file1, 'r')) + + header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None + column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["selected_column_selector_option2"] + if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]: + c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["col2"] + else: + c = None + y = read_columns( + file2, + c = c, + c_option = column_option, + sep='\t', + header=header, + parse_dates=True + ) + y=y.ravel() + return X, y + </token> + <xml name="python_requirements"> <requirements> <requirement type="package" version="2.7">python</requirement> @@ -81,34 +120,6 @@ <!--Generic interface--> - <xml name="train_loadConditional" token_train="tabular" token_data="tabular" token_model="txt"> - <conditional name="selected_tasks"> - <param name="selected_task" type="select" label="Select a Classification Task"> - <option value="train" selected="true">Train a model</option> - <option value="load">Load a model and predict</option> - </param> - <when value="load"> - <param name="infile_model" type="data" format="@MODEL@" label="Models" help="Select a model file."/> - <param name="infile_data" type="data" format="@DATA@" label="Data (tabular)" help="Select the dataset you want to classify."/> - <conditional name="prediction_options"> - <param name="prediction_option" type="select" label="Select the type of prediction"> - <option value="predict">Predict class labels</option> - <option value="advanced">Include advanced options</option> - </param> - <when value="predict"> - </when> - <when value="advanced"> - </when> - </conditional> - </when> - <when value="train"> - <param name="infile_train" type="data" format="@TRAIN@" label="Training samples (tabular)"/> - <conditional name="selected_algorithms"> - <yield /> - </conditional> - </when> - </conditional> - </xml> <xml name="sl_Conditional" token_train="tabular" token_data="tabular" token_model="txt"> <conditional name="selected_tasks">