Mercurial > repos > bgruening > ml_visualization_ex
comparison ml_visualization_ex.xml @ 1:09efff9a5765 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 02087ce2966cf8b4aac9197a41171e7f986c11d1-dirty"
author | bgruening |
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date | Wed, 02 Oct 2019 03:50:11 -0400 |
parents | f96efab83b65 |
children | 6b94d76a1397 |
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0:f96efab83b65 | 1:09efff9a5765 |
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33 </configfiles> | 33 </configfiles> |
34 <inputs> | 34 <inputs> |
35 <conditional name="plotting_selection"> | 35 <conditional name="plotting_selection"> |
36 <param name="plot_type" type="select" label="Select a plotting type"> | 36 <param name="plot_type" type="select" label="Select a plotting type"> |
37 <option value="learning_curve" selected="true">Learning curve</option> | 37 <option value="learning_curve" selected="true">Learning curve</option> |
38 <option value="pr_curve">2-class Precison Recall curve</option> | 38 <option value="pr_curve">2-class / multpi-label Precison Recall curve</option> |
39 <option value="roc_curve">2-class Receiver Operating Characteristic (ROC) curve</option> | 39 <option value="roc_curve">2-class / multi-label Receiver Operating Characteristic (ROC) curve</option> |
40 <option value="rfecv_gridscores">Number of features vs. Recursive Feature Elimination gridscores with corss-validation</option> | 40 <option value="rfecv_gridscores">Number of features vs. Recursive Feature Elimination gridscores with corss-validation</option> |
41 <option value="feature_importances">Feature Importances plot</option> | 41 <option value="feature_importances">Feature Importances plot</option> |
42 <option value="keras_plot_model">keras plot model - plot configuration of a neural network model</option> | 42 <option value="keras_plot_model">keras plot model - plot configuration of a neural network model</option> |
43 </param> | 43 </param> |
44 <when value="learning_curve"> | 44 <when value="learning_curve"> |
45 <param name="infile1" type="data" format="tabular" label="Select the dataset containing values for plotting learning curve." help="This dataset should be the output of tool model_validation->learning_curve."/> | 45 <param name="infile1" type="data" format="tabular" label="Select the dataset containing values for plotting learning curve." help="This dataset should be the output of tool model_validation->learning_curve."/> |
46 <param name="plot_std_err" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="false" label="Whether to plot standard error bar?"/> | 46 <param name="plot_std_err" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="false" label="Whether to plot standard error bar?"/> |
47 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/> | 47 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/> |
48 </when> | 48 </when> |
49 <when value="pr_curve"> | 49 <when value="pr_curve"> |
50 <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. Each column corresponds to one class."/> | 50 <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. For 2-class, single column contains both class labels (e.g. True and False). For multi-label, each column, hot-encoded, corresponds to one label."/> |
51 <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. Each column corresponds to one class."/> | 51 <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. For 2-class, sinle column or the first column contains scores for the positive label. For multi-label, each column corresponds to one label."/> |
52 <param name="pos_label" type="text" value="" optional="true" label="pos_label" help="The label of positive class. If not specified, it will be 1 by default."/> | 52 <param name="pos_label" type="text" value="" optional="true" label="pos_label" help="The label of positive class. If not specified, it will be 1 by default."/> |
53 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/> | 53 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/> |
54 </when> | 54 </when> |
55 <when value="roc_curve"> | 55 <when value="roc_curve"> |
56 <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. Each column corresponds to one class."/> | 56 <param name="infile1" type="data" format="tabular" label="Select the dataset containing true labels." help="No headers. For 2-class, single column contains both class labels (e.g. True and False). For multi-label, each column, hot-encoded, corresponds to one label."/> |
57 <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. Each column corresponds to one class."/> | 57 <param name="infile2" type="data" format="tabular" label="Select the dataset containing predicted probabilities." help="No headers. For 2-class, sinle column or the first column contains scores for the positive label. For multi-label, each column corresponds to one label."/> |
58 <param name="pos_label" type="text" value="" optional="true" label="pos_label" help="The label of positive class. If not specified, it will be 1 by default."/> | 58 <param name="pos_label" type="text" value="" optional="true" label="pos_label" help="The label of positive class. If not specified, it will be 1 by default."/> |
59 <param name="drop_intermediate" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="true" label="drop_intermediate" help="Whether to drop some suboptimal thresholds which would not appear on a plotted ROC curve."/> | 59 <param name="drop_intermediate" type="boolean" truevalue="booltrue" falsevalue="boolfalse" optional="true" checked="true" label="drop_intermediate" help="Whether to drop some suboptimal thresholds which would not appear on a plotted ROC curve."/> |
60 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/> | 60 <param name="title" type="text" value="" optional="true" label="Plot title" help="Optional. If change is desired."/> |
61 </when> | 61 </when> |
62 <when value="rfecv_gridscores"> | 62 <when value="rfecv_gridscores"> |