Mercurial > repos > florianbegusch > qiime2_suite
comparison qiime2/qiime_feature-classifier_fit-classifier-sklearn.xml @ 0:370e0b6e9826 draft
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author | florianbegusch |
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date | Wed, 17 Jul 2019 03:05:17 -0400 |
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children | f190567fe3f6 |
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-1:000000000000 | 0:370e0b6e9826 |
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1 <?xml version="1.0" ?> | |
2 <tool id="qiime_feature-classifier_fit-classifier-sklearn" name="qiime feature-classifier fit-classifier-sklearn" version="2019.4"> | |
3 <description> - Train an almost arbitrary scikit-learn classifier</description> | |
4 <requirements> | |
5 <requirement type="package" version="2019.4">qiime2</requirement> | |
6 </requirements> | |
7 <command><![CDATA[ | |
8 qiime feature-classifier fit-classifier-sklearn | |
9 | |
10 --i-reference-reads=$ireferencereads | |
11 | |
12 | |
13 #if str( $id_to_taxonomy_fp.selector ) == 'history' | |
14 #set $tax = $id_to_taxonomy_fp.taxonomy_fp | |
15 --i-reference-taxonomy '$tax' | |
16 #else: | |
17 #set $tax = $id_to_taxonomy_fp.taxonomy_fp.fields.path | |
18 --i-reference-taxonomy '$tax' | |
19 #end if | |
20 | |
21 | |
22 --p-classifier-specification="$pclassifierspecification" | |
23 | |
24 #if str($iclassweight) != 'None': | |
25 --i-class-weight=$iclassweight | |
26 #end if | |
27 | |
28 --o-classifier=oclassifier | |
29 ; | |
30 cp oclassifier.qza $oclassifier | |
31 ]]></command> | |
32 <inputs> | |
33 <param format="qza,no_unzip.zip" label="--i-reference-reads: ARTIFACT FeatureData[Sequence] [required]" name="ireferencereads" optional="False" type="data"/> | |
34 | |
35 <conditional name="id_to_taxonomy_fp" optional="True"> | |
36 <param name="selector" type="select" label="Reference taxonomy to query"> | |
37 <option value="cached">Public databases</option> | |
38 <option value="history">Databases from your history</option> | |
39 </param> | |
40 <when value="cached"> | |
41 <param argument="--taxonomy_fp" label="Reference taxonomy" type="select" optional="True"> | |
42 <options from_data_table="qiime_taxonomy" /> | |
43 </param> | |
44 </when> | |
45 <when value="history"> | |
46 <param argument="--taxonomy_fp" type="data" format="qza,no_unzip.zip" label="Reference databases" optional="True" /> | |
47 </when> | |
48 </conditional> | |
49 | |
50 <param label="--p-classifier-specification: TEXT [required]" name="pclassifierspecification" optional="False" type="text"/> | |
51 <param format="qza,no_unzip.zip" label="--i-class-weight: ARTIFACT FeatureTable[RelativeFrequency] [optional]" name="iclassweight" optional="True" type="data"/> | |
52 </inputs> | |
53 <outputs> | |
54 <data format="qza" label="${tool.name} on ${on_string}: classifier.qza" name="oclassifier"/> | |
55 </outputs> | |
56 <help><![CDATA[ | |
57 rain an almost arbitrary scikit-learn classifier | |
58 ################################################ | |
59 | |
60 Train a scikit-learn classifier to classify reads. | |
61 | |
62 Parameters | |
63 ---------- | |
64 reference_reads : FeatureData[Sequence] | |
65 \ | |
66 | |
67 reference_taxonomy : FeatureData[Taxonomy] | |
68 \ | |
69 | |
70 classifier_specification : Str | |
71 \ | |
72 | |
73 class_weight : FeatureTable[RelativeFrequency], optional | |
74 \ | |
75 | |
76 Returns | |
77 ------- | |
78 classifier : TaxonomicClassifier | |
79 \ | |
80 | |
81 ]]></help> | |
82 <macros> | |
83 <import>qiime_citation.xml</import> | |
84 </macros> | |
85 <expand macro="qiime_citation"/> | |
86 </tool> |