Mercurial > repos > bgruening > sklearn_ensemble

comparison ensemble.xml @ 14:923ecece9e9c draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
author bgruening
date Tue, 05 Jun 2018 06:40:49 -0400
parents e4fcbbc81083
children 706149106031
comparison
equal deleted inserted replaced
13:23e61fef968a 14:923ecece9e9c
47 if "min_samples_split" in options and options["min_samples_split"] > 1.0: 47 if "min_samples_split" in options and options["min_samples_split"] > 1.0:
48 options["min_samples_split"] = int(options["min_samples_split"]) 48 options["min_samples_split"] = int(options["min_samples_split"])
49 input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"] 49 input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"]
50 if input_type=="tabular": 50 if input_type=="tabular":
51 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None 51 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None
52 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"]
53 if column_option == "by_index_number":
54 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["col1"]
55 else:
56 c = None
52 X = read_columns( 57 X = read_columns(
53 "$selected_tasks.selected_algorithms.input_options.infile1", 58 "$selected_tasks.selected_algorithms.input_options.infile1",
54 "$selected_tasks.selected_algorithms.input_options.col1", 59 c = c,
60 c_option = column_option,
55 sep='\t', 61 sep='\t',
56 header=header, 62 header=header,
57 parse_dates=True 63 parse_dates=True
58 ) 64 )
59 else: 65 else:
60 X = mmread(open("$selected_tasks.selected_algorithms.input_options.infile1", 'r')) 66 X = mmread(open("$selected_tasks.selected_algorithms.input_options.infile1", 'r'))
61 67
62 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None 68 header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None
69 column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["selected_column_selector_option2"]
70 if column_option == "by_index_number":
71 c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["col2"]
72 else:
73 c = None
63 y = read_columns( 74 y = read_columns(
64 "$selected_tasks.selected_algorithms.input_options.infile2", 75 "$selected_tasks.selected_algorithms.input_options.infile2",
65 "$selected_tasks.selected_algorithms.input_options.col2", 76 c = c,
77 c_option = column_option,
66 sep='\t', 78 sep='\t',
67 header=header, 79 header=header,
68 parse_dates=True 80 parse_dates=True
69 ) 81 )
70 y=y.ravel() 82 y=y.ravel()
260 </test> 272 </test>
261 <test> 273 <test>
262 <param name="infile1" value="regression_X.tabular" ftype="tabular"/> 274 <param name="infile1" value="regression_X.tabular" ftype="tabular"/>
263 <param name="infile2" value="regression_y.tabular" ftype="tabular"/> 275 <param name="infile2" value="regression_y.tabular" ftype="tabular"/>
264 <param name="header1" value="True"/> 276 <param name="header1" value="True"/>
265 <param name="col1" value="1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17"/> 277 <param name="selected_column_selector_option" value="all_columns"/>
266 <param name="header2" value="True"/> 278 <param name="header2" value="True"/>
267 <param name="col2" value="1"/> 279 <param name="col2" value="1"/>
268 <param name="selected_task" value="train"/> 280 <param name="selected_task" value="train"/>
269 <param name="selected_algorithm" value="GradientBoostingRegressor"/> 281 <param name="selected_algorithm" value="GradientBoostingRegressor"/>
270 <param name="max_features" value="number_input"/> 282 <param name="max_features" value="number_input"/>