Mercurial > repos > bgruening > sklearn_generalized_linear

comparison generalized_linear.xml @ 11:6cf4b82c72bc draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e
author bgruening
date Wed, 06 Jun 2018 17:44:20 -0400
parents 44699d79d908
children 513405ebad8b
comparison
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10:44699d79d908 11:6cf4b82c72bc
33 options = params["selected_tasks"]["selected_algorithms"]["options"] 33 options = params["selected_tasks"]["selected_algorithms"]["options"]
34 34
35 #if $selected_tasks.selected_algorithms.input_options.selected_input=="tabular": 35 #if $selected_tasks.selected_algorithms.input_options.selected_input=="tabular":
36 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None 36 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None
37 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"] 37 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"]
38 if column_option == "by_index_number": 38 if column_option in ["by_index_number", "all_but_by_index_number"]:
39 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["col1"] 39 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["col1"]
40 else: 40 else:
41 c = None 41 c = None
42 X = read_columns( 42 X = read_columns(
43 "$selected_tasks.selected_algorithms.input_options.infile1", 43 "$selected_tasks.selected_algorithms.input_options.infile1",
51 X = mmread(open("$selected_tasks.selected_algorithms.input_options.infile1", 'r')) 51 X = mmread(open("$selected_tasks.selected_algorithms.input_options.infile1", 'r'))
52 #end if 52 #end if
53 53
54 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None 54 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None
55 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["selected_column_selector_option2"] 55 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["selected_column_selector_option2"]
56 if column_option == "by_index_number": 56 if column_option in ["by_index_number", "all_but_by_index_number"]:
57 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["col2"] 57 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["col2"]
58 else: 58 else:
59 c = None 59 c = None
60 y = read_columns( 60 y = read_columns(
61 "$selected_tasks.selected_algorithms.input_options.infile2", 61 "$selected_tasks.selected_algorithms.input_options.infile2",
238 </outputs> 238 </outputs>
239 <tests> 239 <tests>
240 <test> 240 <test>
241 <param name="infile1" value="regression_train.tabular" ftype="tabular"/> 241 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
242 <param name="infile2" value="regression_train.tabular" ftype="tabular"/> 242 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
243 <param name="col1" value="1,2,3,4,5"/> 243 <param name="selected_column_selector_option" value="all_but_by_index_number"/>
244 <param name="col1" value="6"/>
244 <param name="col2" value="6"/> 245 <param name="col2" value="6"/>
245 <param name="selected_task" value="train"/> 246 <param name="selected_task" value="train"/>
246 <param name="selected_algorithm" value="SGDRegressor"/> 247 <param name="selected_algorithm" value="SGDRegressor"/>
247 <param name="random_state" value="10"/> 248 <param name="random_state" value="10"/>
248 <output name="outfile_fit" file="glm_model01" compare="sim_size" delta="500"/> 249 <output name="outfile_fit" file="glm_model01" compare="sim_size" delta="500"/>