diff qiime2/qiime_feature-classifier_fit-classifier-sklearn.xml @ 29:3ba9833030c1 draft

Uploaded
author florianbegusch
date Fri, 04 Sep 2020 13:12:49 +0000
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+++ b/qiime2/qiime_feature-classifier_fit-classifier-sklearn.xml	Fri Sep 04 13:12:49 2020 +0000
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+<?xml version="1.0" ?>
+<tool id="qiime_feature-classifier_fit-classifier-sklearn" name="qiime feature-classifier fit-classifier-sklearn"
+      version="2020.8">
+  <description>Train an almost arbitrary scikit-learn classifier</description>
+  <requirements>
+    <requirement type="package" version="2020.8">qiime2</requirement>
+  </requirements>
+  <command><![CDATA[
+qiime feature-classifier fit-classifier-sklearn
+
+--i-reference-reads=$ireferencereads
+
+--i-reference-taxonomy=$ireferencetaxonomy
+
+#if str($iclassweight) != 'None':
+--i-class-weight=$iclassweight
+#end if
+
+--p-classifier-specification=$pclassifierspecification
+
+--o-classifier=oclassifier
+
+#if str($examples) != 'None':
+--examples=$examples
+#end if
+
+;
+cp oclassifier.qza $oclassifier
+
+  ]]></command>
+  <inputs>
+    <param format="qza,no_unzip.zip" label="--i-reference-reads: ARTIFACT FeatureData[Sequence] [required]" name="ireferencereads" optional="False" type="data" />
+    <param format="qza,no_unzip.zip" label="--i-reference-taxonomy: ARTIFACT FeatureData[Taxonomy] [required]" name="ireferencetaxonomy" optional="False" type="data" />
+    <param format="qza,no_unzip.zip" label="--i-class-weight: ARTIFACT FeatureTable[RelativeFrequency] [optional]" name="iclassweight" optional="False" type="data" />
+    <param label="--p-classifier-specification: TEXT [required]" name="pclassifierspecification" optional="False" type="text" />
+    <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
+    
+  </inputs>
+
+  <outputs>
+    <data format="qza" label="${tool.name} on ${on_string}: classifier.qza" name="oclassifier" />
+    
+  </outputs>
+
+  <help><![CDATA[
+Train an almost arbitrary scikit-learn classifier
+###############################################################
+
+Train a scikit-learn classifier to classify reads.
+
+Parameters
+----------
+reference_reads : FeatureData[Sequence]
+reference_taxonomy : FeatureData[Taxonomy]
+classifier_specification : Str
+class_weight : FeatureTable[RelativeFrequency], optional
+
+Returns
+-------
+classifier : TaxonomicClassifier
+  ]]></help>
+  <macros>
+    <import>qiime_citation.xml</import>
+  </macros>
+  <expand macro="qiime_citation"/>
+</tool>
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