comparison qiime2/qiime_sample-classifier_predict-regression.xml @ 2:149432539226 draft

Uploaded

2:149432539226

<?xml version="1.0" ?>
<tool id="qiime_sample-classifier_predict-regression" name="qiime sample-classifier predict-regression" version="2019.4">
	<description> - Use trained regressor to predict target values for new samples.</description>
	<requirements>
		<requirement type="package" version="2019.4">qiime2</requirement>
	</requirements>
	<command><![CDATA[
qiime sample-classifier predict-regression

--i-table=$itable
--i-sample-estimator=$isampleestimator

#set $pnjobs = '${GALAXY_SLOTS:-4}'

#if str($pnjobs):
 --p-n-jobs="$pnjobs"
#end if

--o-predictions=opredictions
;
cp opredictions.qza $opredictions
	]]></command>
	<inputs>
		<param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table containing all features that should be used for target prediction.                  [required]" name="itable" optional="False" type="data"/>
		<param format="qza,no_unzip.zip" label="--i-sample-estimator: ARTIFACT SampleEstimator[Regressor] Sample regressor trained with fit_regressor. [required]" name="isampleestimator" optional="False" type="data"/>
	</inputs>
	<outputs>
		<data format="qza" label="${tool.name} on ${on_string}: predictions.qza" name="opredictions"/>
	</outputs>
	<help><![CDATA[
Use trained regressor to predict target values for new samples.
###############################################################

Use trained estimator to predict target values for new samples. These will
typically be unseen samples, e.g., test data (derived manually or from
split_table) or samples with unknown values, but can theoretically be any
samples present in a feature table that contain overlapping features with
the feature table used to train the estimator.

Parameters
----------
table : FeatureTable[Frequency]
    Feature table containing all features that should be used for target
    prediction.
sample_estimator : SampleEstimator[Regressor]
    Sample regressor trained with fit_regressor.

Returns
-------
predictions : SampleData[RegressorPredictions]
    Predicted target values for each input sample.
	]]></help>
<macros>
    <import>qiime_citation.xml</import>
</macros>
<expand macro="qiime_citation"/>
</tool>