Mercurial > repos > florianbegusch > qiime2_suite
diff qiime2-2020.8/qiime_feature-classifier_classify-sklearn.xml @ 20:d93d8888f0b0 draft
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author | florianbegusch |
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date | Fri, 04 Sep 2020 12:44:24 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2-2020.8/qiime_feature-classifier_classify-sklearn.xml Fri Sep 04 12:44:24 2020 +0000 @@ -0,0 +1,101 @@ +<?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> \ No newline at end of file