Mercurial > repos > florianbegusch > qiime2_all
view qiime_feature-classifier_fit-classifier-sklearn.xml @ 1:f2028d8efed6 draft default tip
Add tool_data_table_conf.xml.sample
author | florianbegusch |
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date | Thu, 24 May 2018 03:40:50 -0400 |
parents | 09b7bcb72fa7 |
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<?xml version="1.0" ?> <tool id="qiime_feature-classifier_fit-classifier-sklearn" name="qiime feature-classifier fit-classifier-sklearn" version="2018.4"> <description>- Train an almost arbitrary scikit-learn classifier</description> <requirements> <requirement type="package" version="2018.4">qiime2</requirement> </requirements> <command> <![CDATA[ qiime feature-classifier fit-classifier-sklearn --p-classifier-specification="$pclassifierspecification" #if str( $id_to_taxonomy_fp.selector ) == 'history' #set $tax = $id_to_taxonomy_fp.taxonomy_fp --i-reference-taxonomy '$tax' #else: #set $tax = $id_to_taxonomy_fp.taxonomy_fp.fields.path --i-reference-taxonomy '$tax' #end if --i-reference-reads=$ireferencereads #if str($iclassweight) != 'None': --i-class-weight=$iclassweight #end if --o-classifier=oclassifier #if str($cmdconfig) != 'None': --cmd-config=$cmdconfig #end if ; cp oclassifier.qza $oclassifier; ]]> </command> <inputs> <param format="qza,no_unzip.zip" label="--i-reference-reads: FeatureData[Sequence] [required]" name="ireferencereads" optional="False" type="data"/> <conditional name="id_to_taxonomy_fp" optional="True"> <param name="selector" type="select" label="Reference taxonomy to query"> <option value="cached">Public databases</option> <option value="history">Databases from your history</option> </param> <when value="cached"> <param argument="--taxonomy_fp" label="Reference taxonomy" type="select" optional="True"> <options from_data_table="qiime_taxonomy" /> </param> </when> <when value="history"> <param argument="--taxonomy_fp" type="data" format="qza,no_unzip.zip" label="Reference databases" optional="True" /> </when> </conditional> <param format="qza,no_unzip.zip" label="--i-class-weight: FeatureTable[RelativeFrequency] [optional]" name="iclassweight" optional="True" type="data"/> <param label="--p-classifier-specification: [required]" name="pclassifierspecification" optional="False" type="text"/> <param label="--cmd-config: Use config file for command options" name="cmdconfig" optional="True" type="data"/> </inputs> <outputs> <data format="qza" label="${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] \ class_weight : FeatureTable[RelativeFrequency], optional \ classifier_specification : Str \ Returns ------- classifier : TaxonomicClassifier \ ]]> </help> </tool>