sklearn_generalized_linear: generalized

annotate generalized_linear.xml @ 33:f57f307a3f79 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9e28f4466084464d38d3f8db2aff07974be4ba69"

author	bgruening
date	Wed, 11 Mar 2020 17:08:03 +0000
parents	4b49bade2949
children	b9a8876452cf

rev	line source
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	1 <tool id="sklearn_generalized_linear" name="Generalized linear models" version="@VERSION@">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	2 <description>for classification and regression</description>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	3 <macros>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	4 <import>main_macros.xml</import>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	5 </macros>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	6 <expand macro="python_requirements"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	7 <expand macro="macro_stdio"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	8 <version_command>echo "@VERSION@"</version_command>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	9 <command><![CDATA[
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	10 python "$glm_script" '$inputs'
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	11 ]]>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	12 </command>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	13 <configfiles>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	14 <inputs name="inputs"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	15 <configfile name="glm_script">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	16 <![CDATA[
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	17 import sys
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	18 import json
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	19 import numpy as np
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	20 import sklearn.linear_model
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	21 import pandas
24 d51beacdc6c6 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7 bgruening parents: 23 diff changeset	22 import pickle
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	23
26 15ccc4238c50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty bgruening parents: 24 diff changeset	24 from scipy.io import mmread
15ccc4238c50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty bgruening parents: 24 diff changeset	25 from galaxy_ml.utils import load_model, get_X_y
15ccc4238c50 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty bgruening parents: 24 diff changeset	26
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	27
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	28 input_json_path = sys.argv[1]
15 9205b59cf081 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48 bgruening parents: 14 diff changeset	29 with open(input_json_path, "r") as param_handler:
9205b59cf081 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48 bgruening parents: 14 diff changeset	30 params = json.load(param_handler)
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	31
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	32 #if $selected_tasks.selected_task == "train":
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	33
13 af9385cae623 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364 bgruening parents: 12 diff changeset	34 X, y = get_X_y(params, "$selected_tasks.selected_algorithms.input_options.infile1" ,"$selected_tasks.selected_algorithms.input_options.infile2")
af9385cae623 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5d71c93a3dd804b1469852240a86021ab9130364 bgruening parents: 12 diff changeset	35
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	36 algorithm = params["selected_tasks"]["selected_algorithms"]["selected_algorithm"]
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	37 options = params["selected_tasks"]["selected_algorithms"]["options"]
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	38
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	39 my_class = getattr(sklearn.linear_model, algorithm)
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	40 estimator = my_class(**options)
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	41 estimator.fit(X,y)
15 9205b59cf081 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48 bgruening parents: 14 diff changeset	42 with open("$outfile_fit", 'wb') as out_handler:
9205b59cf081 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48 bgruening parents: 14 diff changeset	43 pickle.dump(estimator, out_handler, pickle.HIGHEST_PROTOCOL)
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	44
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	45 #else:
15 9205b59cf081 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48 bgruening parents: 14 diff changeset	46 with open("$selected_tasks.infile_model", 'rb') as model_handler:
21 da10fb828033 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2a058459e6daf0486871f93845f00fdb4a4eaca1 bgruening parents: 20 diff changeset	47 classifier_object = load_model(model_handler)
28 7200a86765da "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 02087ce2966cf8b4aac9197a41171e7f986c11d1-dirty" bgruening parents: 26 diff changeset	48 header = 'infer' if params["selected_tasks"]["header"] else None
31 4b49bade2949 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476" bgruening parents: 28 diff changeset	49 data = pandas.read_csv("$selected_tasks.infile_data", sep='\t', header=header, index_col=None, parse_dates=True, encoding=None)
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	50 prediction = classifier_object.predict(data)
14 623c0ecb7102 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 7c2fd140e89605fe689c39e21d70a400545e38cf bgruening parents: 13 diff changeset	51 prediction_df = pandas.DataFrame(prediction, columns=["predicted"])
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	52 res = pandas.concat([data, prediction_df], axis=1)
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	53 res.to_csv(path_or_buf = "$outfile_predict", sep="\t", index=False, header=None)
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	54 #end if
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	55
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	56 ]]>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	57 </configfile>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	58 </configfiles>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	59 <inputs>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	60 <expand macro="sl_Conditional" model="zip">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	61 <param name="selected_algorithm" type="select" label="Select a linear model:">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	62 <option value="SGDClassifier" selected="true">Stochastic Gradient Descent (SGD) classifier</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	63 <option value="SGDRegressor">Stochastic Gradient Descent (SGD) regressor</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	64 <option value="LinearRegression">Linear Regression model</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	65 <option value="RidgeClassifier">Ridge classifier</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	66 <option value="Ridge">Ridge regressor</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	67 <option value="LogisticRegression">Logistic Regression</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	68 <option value="LogisticRegressionCV">Logitic Regression with Cross Validation</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	69 <option value="Perceptron">Perceptron</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	70 </param>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	71 <when value="SGDClassifier">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	72 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	73 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	74 <expand macro="loss">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	75 <option value="hinge" selected="true">hinge</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	76 <option value="log">log</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	77 <option value="modified_huber">modified huber</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	78 <option value="squared_hinge">squared hinge</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	79 <option value="perceptron">perceptron</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	80 </expand>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	81 <expand macro="penalty"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	82 <expand macro="alpha"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	83 <expand macro="l1_ratio"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	84 <expand macro="fit_intercept"/>
31 4b49bade2949 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476" bgruening parents: 28 diff changeset	85 <expand macro="n_iter_no_change" />
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	86 <expand macro="shuffle"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	87 <expand macro="epsilon"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	88 <expand macro="learning_rate_s" selected1="true"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	89 <expand macro="eta0"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	90 <expand macro="power_t"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	91 <!--class_weight-->
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	92 <expand macro="warm_start" checked="false"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	93 <expand macro="random_state"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	94 <!--average-->
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	95 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	96 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	97 <when value="SGDRegressor">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	98 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	99 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	100 <expand macro="loss" select="true"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	101 <expand macro="penalty"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	102 <expand macro="alpha"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	103 <expand macro="l1_ratio"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	104 <expand macro="fit_intercept"/>
31 4b49bade2949 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476" bgruening parents: 28 diff changeset	105 <expand macro="n_iter_no_change" />
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	106 <expand macro="shuffle"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	107 <expand macro="epsilon"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	108 <expand macro="learning_rate_s" selected2="true"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	109 <expand macro="eta0" default_value="0.01"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	110 <expand macro="power_t" default_value="0.25"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	111 <expand macro="warm_start" checked="false"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	112 <expand macro="random_state"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	113 <!--average-->
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	114 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	115 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	116 <when value="LinearRegression">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	117 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	118 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	119 <expand macro="fit_intercept"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	120 <expand macro="normalize"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	121 <expand macro="copy_X"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	122 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	123 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	124 <when value="RidgeClassifier">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	125 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	126 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	127 <expand macro="ridge_params"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	128 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	129 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	130 <when value="Ridge">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	131 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	132 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	133 <expand macro="ridge_params"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	134 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	135 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	136 <when value="LogisticRegression">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	137 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	138 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	139 <expand macro="penalty"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	140 <param argument="dual" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Use dual formulation" help=" "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	141 <expand macro="tol" default_value="0.0001" help_text="Tolerance for stopping criteria. "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	142 <expand macro="C"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	143 <expand macro="fit_intercept"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	144 <expand macro="max_iter" default_value="100"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	145 <expand macro="warm_start" checked="false"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	146 <param argument="solver" type="select" label="Optimization algorithm" help=" ">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	147 <option value="liblinear" selected="true">liblinear</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	148 <option value="sag">sag</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	149 <option value="lbfgs">lbfgs</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	150 <option value="newton-cg">newton-cg</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	151 </param>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	152 <param argument="intercept_scaling" type="float" value="1" label="Intercept scaling factor" help="Useful only if solver is liblinear. "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	153 <param argument="multi_class" type="select" label="Multiclass option" help="Works only for lbfgs solver. ">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	154 <option value="ovr" selected="true">ovr</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	155 <option value="multinomial">multinomial</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	156 </param>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	157 <!--class_weight-->
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	158 <expand macro="random_state"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	159 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	160 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	161 <when value="LogisticRegressionCV">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	162 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	163 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	164 <param argument="Cs" type="integer" value="10" label="Inverse of regularization strength" help="A grid of Cs values are chosen in a logarithmic scale between 1e-4 and 1e4. Like in support vector machines, smaller values specify stronger regularization. "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	165 <param argument="dual" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Use dual formulation" help=" "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	166 <param argument="cv" type="integer" optional="true" value="" label="Number of folds used in cross validation" help="If not set, the default cross-validation generator (Stratified K-Folds) is used. "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	167 <expand macro="penalty"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	168 <expand macro="tol" default_value="0.0001" help_text="Tolerance for stopping criteria. "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	169 <expand macro="fit_intercept"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	170 <expand macro="max_iter" default_value="100"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	171 <param argument="solver" type="select" label="Optimization algorithm" help=" ">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	172 <option value="liblinear" selected="true">liblinear</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	173 <option value="sag">sag</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	174 <option value="lbfgs">lbfgs</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	175 <option value="newton-cg">newton-cg</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	176 </param>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	177 <param argument="intercept_scaling" type="float" value="1" label="Intercept scaling factor" help="Useful only if solver is liblinear. "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	178 <param argument="multi_class" type="select" label="Multiclass option" help="Works only for lbfgs solver. ">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	179 <option value="ovr" selected="true">ovr</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	180 <option value="multinomial">multinomial</option>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	181 </param>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	182 <param argument="refit" type="boolean" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="Average scores across all folds" help=" "/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	183 <expand macro="random_state"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	184 <!--scoring=None>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	185 <class_weight=None-->
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	186 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	187 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	188 <when value="Perceptron">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	189 <expand macro="sl_mixed_input"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	190 <section name="options" title="Advanced Options" expanded="False">
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	191 <expand macro="penalty" default_value="none"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	192 <expand macro="alpha"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	193 <expand macro="fit_intercept"/>
31 4b49bade2949 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476" bgruening parents: 28 diff changeset	194 <expand macro="n_iter_no_change" />
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	195 <expand macro="shuffle"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	196 <expand macro="eta0" default_value="1"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	197 <expand macro="warm_start" checked="false"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	198 <expand macro="random_state" default_value="0"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	199 <!--class_weight=None-->
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	200 </section>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	201 </when>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	202 </expand>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	203 </inputs>
21 da10fb828033 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2a058459e6daf0486871f93845f00fdb4a4eaca1 bgruening parents: 20 diff changeset	204 <expand macro="output"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	205 <tests>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	206 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	207 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	208 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
11 20cf67b621df planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e bgruening parents: 10 diff changeset	209 <param name="selected_column_selector_option" value="all_but_by_index_number"/>
20cf67b621df planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e bgruening parents: 10 diff changeset	210 <param name="col1" value="6"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	211 <param name="col2" value="6"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	212 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	213 <param name="selected_algorithm" value="SGDRegressor"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	214 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	215 <output name="outfile_fit" file="glm_model01" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	216 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	217 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	218 <param name="infile_model" value="glm_model01" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	219 <param name="infile_data" value="regression_test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	220 <param name="selected_task" value="load"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	221 <output name="outfile_predict" file="glm_result01" lines_diff="4"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	222 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	223 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	224 <param name="infile1" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	225 <param name="infile2" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	226 <param name="col1" value="1,2,3,4"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	227 <param name="col2" value="5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	228 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	229 <param name="selected_algorithm" value="SGDClassifier"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	230 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	231 <output name="outfile_fit" file="glm_model02" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	232 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	233 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	234 <param name="infile_model" value="glm_model02" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	235 <param name="infile_data" value="test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	236 <param name="selected_task" value="load"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	237 <output name="outfile_predict" file="glm_result02"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	238 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	239 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	240 <param name="infile1" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	241 <param name="infile2" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	242 <param name="col1" value="1,2,3,4"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	243 <param name="col2" value="5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	244 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	245 <param name="selected_algorithm" value="RidgeClassifier"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	246 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	247 <output name="outfile_fit" file="glm_model03" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	248 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	249 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	250 <param name="infile_model" value="glm_model03" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	251 <param name="infile_data" value="test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	252 <param name="selected_task" value="load"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	253 <output name="outfile_predict" file="glm_result03"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	254 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	255 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	256 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	257 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	258 <param name="col1" value="1,2,3,4,5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	259 <param name="col2" value="6"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	260 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	261 <param name="selected_algorithm" value="LinearRegression"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	262 <output name="outfile_fit" file="glm_model04" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	263 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	264 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	265 <param name="infile_model" value="glm_model04" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	266 <param name="infile_data" value="regression_test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	267 <param name="selected_task" value="load"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	268 <output name="outfile_predict" file="glm_result04" lines_diff="8"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	269 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	270 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	271 <param name="infile1" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	272 <param name="infile2" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	273 <param name="col1" value="1,2,3,4"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	274 <param name="col2" value="5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	275 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	276 <param name="selected_algorithm" value="LogisticRegression"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	277 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	278 <output name="outfile_fit" file="glm_model05" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	279 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	280 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	281 <param name="infile_model" value="glm_model05" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	282 <param name="infile_data" value="test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	283 <param name="selected_task" value="load"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	284 <output name="outfile_predict" file="glm_result05"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	285 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	286 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	287 <param name="infile1" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	288 <param name="infile2" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	289 <param name="col1" value="1,2,3,4"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	290 <param name="col2" value="5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	291 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	292 <param name="selected_algorithm" value="LogisticRegressionCV"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	293 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	294 <output name="outfile_fit" file="glm_model06" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	295 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	296 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	297 <param name="infile_model" value="glm_model06" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	298 <param name="infile_data" value="test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	299 <param name="selected_task" value="load"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	300 <output name="outfile_predict" file="glm_result06"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	301 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	302 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	303 <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	304 <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	305 <param name="col1" value="1,2,3,4,5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	306 <param name="col2" value="6"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	307 <param name="selected_task" value="train"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	308 <param name="selected_algorithm" value="Ridge"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	309 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	310 <output name="outfile_fit" file="glm_model07" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	311 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	312 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	313 <param name="infile_model" value="glm_model07" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	314 <param name="infile_data" value="regression_test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	315 <param name="selected_task" value="load"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	316 <output name="outfile_predict" file="glm_result07"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	317 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	318 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	319 <param name="infile1" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	320 <param name="infile2" value="train.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	321 <param name="col1" value="1,2,3,4"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	322 <param name="col2" value="5"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	323 <param name="selected_task" value="train"/>
22 8abf7c77c5f9 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c64ccc5850c8e061a95fb64e07ed388384e82393 bgruening parents: 21 diff changeset	324 <param name="selected_algorithm" value="Perceptron"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	325 <param name="random_state" value="10"/>
23 a146c2dd1ac3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d bgruening parents: 22 diff changeset	326 <output name="outfile_fit" file="glm_model08" compare="sim_size" delta="5"/>
0 6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	327 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	328 <test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	329 <param name="infile_model" value="glm_model08" ftype="zip"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	330 <param name="infile_data" value="test.tabular" ftype="tabular"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	331 <param name="selected_task" value="load"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	332 <output name="outfile_predict" file="glm_result08"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	333 </test>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	334 </tests>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	335 <help><![CDATA[
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	336 *What it does*
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	337 This module implements a set of linear models for classification and regression such as: SGD classification and regression, Linear and Ridge regression and classification. This wrapper is using sklearn.linear_model module at its core. For information about linear models and their parameter settings please refer to `Scikit-learn generalized linear models`_.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	338
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	339 .. _`Scikit-learn generalized linear models`: http://scikit-learn.org/stable/modules/linear_model.html
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	340
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	341 1 - Methods
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	342 There are two groups of operations available:
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	343
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	344 1 - Train a model : A training set containing samples and their respective labels (or predicted values) are input. Based on the selected algorithm and options, an estimator object is fit to the data and is returned.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	345
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	346 2 - Load a model and predict : An existing model predicts the class labels (or regression values) for a new dataset.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	347
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	348 2 - Trainig input
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	349 When you choose to train a model, you need a features dataset X and a labels set y. This tool expects tabular or sparse data for X and a single column for y (tabular). You can select a subset of columns in a tabular dataset as your features dataset or labels column. Below you find some examples:
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	350
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	351 Sample tabular features dataset
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	352 The following training dataset contains 3 feature columns and a column containing class labels. You can simply select the first 3 columns as features and the last column as labels:
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	353
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	354 ::
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	355
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	356 4.01163365529 -6.10797684314 8.29829894763 1
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	357 10.0788438916 1.59539821454 10.0684278289 0
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	358 -5.17607775503 -0.878286135332 6.92941850665 2
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	359 4.00975406235 -7.11847496542 9.3802423585 1
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	360 4.61204065139 -5.71217537352 9.12509610964 1
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	361
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	362
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	363 Sample sparse features dataset
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	364 In this case you cannot specifiy a column range.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	365
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	366 ::
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	367
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	368 4 1048577 8738
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	369 1 271 0.020833
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	370 1 1038 0.02461
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	371 2 829017 0.016
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	372 2 829437 0.012
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	373 2 830752 0.025
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	374 3 1047487 0.01
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	375 3 1047980 0.02
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	376 3 1048475 0.01
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	377 4 608 0.016629
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	378 4 1651 0.02519
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	379 4 4053 0.04223
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	380
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	381
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	382 2 - Trainig output
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	383 The trained model is generated and output in the form of a binary file.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	384
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	385
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	386 3 - Prediction input
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	387
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	388 When you choose to load a model and do prediction, the tool expects an already trained estimator and a tabular dataset as input. The dataset contains new samples which you want to classify or predict regression values for.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	389
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	390
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	391 .. class:: warningmark
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	392
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	393 The number of feature columns must be the same in training and prediction datasets!
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	394
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	395
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	396 3 - Prediction output
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	397 The tool predicts the class labels for new samples and adds them as the last column to the prediction dataset. The new dataset then is output as a tabular file. The prediction output format should look like the training dataset.
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	398
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	399 ]]></help>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	400 <expand macro="sklearn_citation"/>
6bc08bf6c6f3 planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9 bgruening parents: diff changeset	401 </tool>

Mercurial > repos > bgruening > sklearn_generalized_linear

annotate generalized_linear.xml @ 33:f57f307a3f79 draft