Mercurial > repos > bgruening > sklearn_to_categorical
comparison to_categorical.xml @ 0:59e8b4328c82 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
author | bgruening |
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date | Tue, 13 Apr 2021 22:40:10 +0000 |
parents | |
children | ec69cbe34b73 |
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-1:000000000000 | 0:59e8b4328c82 |
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1 <tool id="sklearn_to_categorical" name="To categorical" version="@VERSION@" profile="20.05"> | |
2 <description>Converts a class vector (integers) to binary class matrix</description> | |
3 <macros> | |
4 <import>main_macros.xml</import> | |
5 </macros> | |
6 <expand macro="python_requirements" /> | |
7 <expand macro="macro_stdio" /> | |
8 <version_command>echo "@VERSION@"</version_command> | |
9 <command detect_errors="exit_code"><![CDATA[ | |
10 python '$__tool_directory__/to_categorical.py' | |
11 --inputs '$inputs' | |
12 --infile '$infile' | |
13 #if $num_classes | |
14 --num_classes '$num_classes' | |
15 #end if | |
16 --outfile '$outfile' | |
17 ]]> | |
18 </command> | |
19 <configfiles> | |
20 <inputs name="inputs" /> | |
21 </configfiles> | |
22 <inputs> | |
23 <param name="infile" type="data" format="tabular" label="Input file" /> | |
24 <param name="header0" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="true" label="Does the dataset contain header?" /> | |
25 <param name="num_classes" type="integer" optional="true" label="Total number of classes" /> | |
26 </inputs> | |
27 <outputs> | |
28 <data name="outfile" format="tabular" /> | |
29 </outputs> | |
30 <tests> | |
31 <test> | |
32 <param name="infile" value="ohe_in_w_header.tabular" ftype="tabular" /> | |
33 <param name="header0" value="true" /> | |
34 <output name="outfile" file="ohe_out_4.tabular" ftype="tabular" /> | |
35 </test> | |
36 <test> | |
37 <param name="infile" value="ohe_in_w_header.tabular" ftype="tabular" /> | |
38 <param name="header0" value="true" /> | |
39 <param name="num_classes" value="4" /> | |
40 <output name="outfile" file="ohe_out_4.tabular" ftype="tabular" /> | |
41 </test> | |
42 <test> | |
43 <param name="infile" value="ohe_in_w_header.tabular" ftype="tabular" /> | |
44 <param name="header0" value="true" /> | |
45 <param name="num_classes" value="5" /> | |
46 <output name="outfile" file="ohe_out_5.tabular" ftype="tabular" /> | |
47 </test> | |
48 <test> | |
49 <param name="infile" value="ohe_in_wo_header.tabular" ftype="tabular" /> | |
50 <param name="header0" value="false" /> | |
51 <output name="outfile" file="ohe_out_4.tabular" ftype="tabular" /> | |
52 </test> | |
53 <test> | |
54 <param name="infile" value="ohe_in_wo_header.tabular" ftype="tabular" /> | |
55 <param name="header0" value="false" /> | |
56 <param name="num_classes" value="4" /> | |
57 <output name="outfile" file="ohe_out_4.tabular" ftype="tabular" /> | |
58 </test> | |
59 <test> | |
60 <param name="infile" value="ohe_in_wo_header.tabular" ftype="tabular" /> | |
61 <param name="header0" value="false" /> | |
62 <param name="num_classes" value="5" /> | |
63 <output name="outfile" file="ohe_out_5.tabular" ftype="tabular" /> | |
64 </test> | |
65 </tests> | |
66 <help><![CDATA[ | |
67 **What it does** | |
68 | |
69 Converts a class vector (integers) to binary class matrix. | |
70 | |
71 tf.keras.utils.to_categorical( | |
72 y, num_classes=None, dtype='float32' | |
73 ) | |
74 | |
75 E.g. for use with categorical_crossentropy. | |
76 | |
77 Arguments | |
78 | |
79 y: a vector of numbers to be converted into a matrix of one-hot encoded values. | |
80 num_classes: total number of classes. If None, this would be inferred as the (largest number in y) + 1. | |
81 dtype: The data type expected by the input. Default: 'float32'. | |
82 | |
83 Returns | |
84 | |
85 A binary matrix representation of the input. The classes axis is placed last. | |
86 | |
87 Raises | |
88 | |
89 Value Error: If input contains string value | |
90 | |
91 ]]> </help> | |
92 <expand macro="sklearn_citation" /> | |
93 </tool> |