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comparison qiime2/qiime_sample-classifier_predict-regression.xml @ 0:370e0b6e9826 draft

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author florianbegusch
date Wed, 17 Jul 2019 03:05:17 -0400
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1 <?xml version="1.0" ?>
2 <tool id="qiime_sample-classifier_predict-regression" name="qiime sample-classifier predict-regression" version="2019.4">
3 <description> - Use trained regressor to predict target values for new samples.</description>
4 <requirements>
5 <requirement type="package" version="2019.4">qiime2</requirement>
6 </requirements>
7 <command><![CDATA[
8 qiime sample-classifier predict-regression
9
10 --i-table=$itable
11 --i-sample-estimator=$isampleestimator
12
13 #set $pnjobs = '${GALAXY_SLOTS:-4}'
14
15 #if str($pnjobs):
16 --p-n-jobs="$pnjobs"
17 #end if
18
19 --o-predictions=opredictions
20 ;
21 cp opredictions.qza $opredictions
22 ]]></command>
23 <inputs>
24 <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table containing all features that should be used for target prediction. [required]" name="itable" optional="False" type="data"/>
25 <param format="qza,no_unzip.zip" label="--i-sample-estimator: ARTIFACT SampleEstimator[Regressor] Sample regressor trained with fit_regressor. [required]" name="isampleestimator" optional="False" type="data"/>
26 </inputs>
27 <outputs>
28 <data format="qza" label="${tool.name} on ${on_string}: predictions.qza" name="opredictions"/>
29 </outputs>
30 <help><![CDATA[
31 Use trained regressor to predict target values for new samples.
32 ###############################################################
33
34 Use trained estimator to predict target values for new samples. These will
35 typically be unseen samples, e.g., test data (derived manually or from
36 split_table) or samples with unknown values, but can theoretically be any
37 samples present in a feature table that contain overlapping features with
38 the feature table used to train the estimator.
39
40 Parameters
41 ----------
42 table : FeatureTable[Frequency]
43 Feature table containing all features that should be used for target
44 prediction.
45 sample_estimator : SampleEstimator[Regressor]
46 Sample regressor trained with fit_regressor.
47
48 Returns
49 -------
50 predictions : SampleData[RegressorPredictions]
51 Predicted target values for each input sample.
52 ]]></help>
53 <macros>
54 <import>qiime_citation.xml</import>
55 </macros>
56 <expand macro="qiime_citation"/>
57 </tool>