diff qiime2-2020.8/qiime_feature-classifier_classify-sklearn.xml @ 20:d93d8888f0b0 draft

Uploaded
author florianbegusch
date Fri, 04 Sep 2020 12:44:24 +0000
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+++ b/qiime2-2020.8/qiime_feature-classifier_classify-sklearn.xml	Fri Sep 04 12:44:24 2020 +0000
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+<?xml version="1.0" ?>
+<tool id="qiime_feature-classifier_classify-sklearn" name="qiime feature-classifier classify-sklearn"
+      version="2020.8">
+  <description>Pre-fitted sklearn-based taxonomy classifier</description>
+  <requirements>
+    <requirement type="package" version="2020.8">qiime2</requirement>
+  </requirements>
+  <command><![CDATA[
+qiime feature-classifier classify-sklearn
+
+--i-reads=$ireads
+
+--i-classifier=$iclassifier
+
+--p-n-jobs=$pnjobs
+
+#if str($pconfidence) != 'None':
+--p-confidence=$pconfidence
+#end if
+
+#if str($preadorientation) != 'None':
+--p-read-orientation=$preadorientation
+#end if
+
+--o-classification=oclassification
+
+#if str($examples) != 'None':
+--examples=$examples
+#end if
+
+;
+cp oclassification.qza $oclassification
+
+  ]]></command>
+  <inputs>
+    <param format="qza,no_unzip.zip" label="--i-reads: ARTIFACT FeatureData[Sequence] The feature data to be classified.         [required]" name="ireads" optional="False" type="data" />
+    <param format="qza,no_unzip.zip" label="--i-classifier: ARTIFACT TaxonomicClassifier  The taxonomic classifier for classifying the reads. [required]" name="iclassifier" optional="False" type="data" />
+    <param label="--p-confidence: " name="pconfidence" optional="True" type="select">
+      <option selected="True" value="None">Selection is Optional</option>
+      <option value="Float % Range(0">Float % Range(0</option>
+      <option value="1">1</option>
+      <option value="inclusive_end=True">inclusive_end=True</option>
+    </param>
+    <param label="--p-read-orientation: " name="preadorientation" optional="True" type="select">
+      <option selected="True" value="None">Selection is Optional</option>
+      <option value="same">same</option>
+      <option value="reverse-complement">reverse-complement</option>
+      <option value="auto">auto</option>
+    </param>
+    <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
+    
+  </inputs>
+
+  <outputs>
+    <data format="qza" label="${tool.name} on ${on_string}: classification.qza" name="oclassification" />
+    
+  </outputs>
+
+  <help><![CDATA[
+Pre-fitted sklearn-based taxonomy classifier
+###############################################################
+
+Classify reads by taxon using a fitted classifier.
+
+Parameters
+----------
+reads : FeatureData[Sequence]
+    The feature data to be classified.
+classifier : TaxonomicClassifier
+    The taxonomic classifier for classifying the reads.
+reads_per_batch : Int % Range(0, None), optional
+    Number of reads to process in each batch. If "auto", this parameter is
+    autoscaled to min( number of query sequences / n_jobs, 20000).
+n_jobs : Int, optional
+    The maximum number of concurrently worker processes. If -1 all CPUs are
+    used. If 1 is given, no parallel computing code is used at all, which
+    is useful for debugging. For n_jobs below -1, (n_cpus + 1 + n_jobs) are
+    used. Thus for n_jobs = -2, all CPUs but one are used.
+pre_dispatch : Str, optional
+    "all" or expression, as in "3*n_jobs". The number of batches (of tasks)
+    to be pre-dispatched.
+confidence : Float % Range(0, 1, inclusive_end=True) | Str % Choices('disable'), optional
+    Confidence threshold for limiting taxonomic depth. Set to "disable" to
+    disable confidence calculation, or 0 to calculate confidence but not
+    apply it to limit the taxonomic depth of the assignments.
+read_orientation : Str % Choices('same', 'reverse-complement', 'auto'), optional
+    Direction of reads with respect to reference sequences. same will cause
+    reads to be classified unchanged; reverse-complement will cause reads
+    to be reversed and complemented prior to classification. "auto" will
+    autodetect orientation based on the confidence estimates for the first
+    100 reads.
+
+Returns
+-------
+classification : FeatureData[Taxonomy]
+  ]]></help>
+  <macros>
+    <import>qiime_citation.xml</import>
+  </macros>
+  <expand macro="qiime_citation"/>
+</tool>
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