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comparison qiime2-2020.8/qiime_sample-classifier_predict-regression.xml @ 20:d93d8888f0b0 draft

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author florianbegusch
date Fri, 04 Sep 2020 12:44:24 +0000
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19:6c48f8d82424 20:d93d8888f0b0
1 <?xml version="1.0" ?>
2 <tool id="qiime_sample-classifier_predict-regression" name="qiime sample-classifier predict-regression"
3 version="2020.8">
4 <description>Use trained regressor to predict target values for new samples.</description>
5 <requirements>
6 <requirement type="package" version="2020.8">qiime2</requirement>
7 </requirements>
8 <command><![CDATA[
9 qiime sample-classifier predict-regression
10
11 --i-table=$itable
12
13 --i-sample-estimator=$isampleestimator
14
15 --p-n-jobs=$pnjobs
16
17 --o-predictions=opredictions
18
19 #if str($examples) != 'None':
20 --examples=$examples
21 #end if
22
23 ;
24 cp opredictions.qza $opredictions
25
26 ]]></command>
27 <inputs>
28 <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table containing all features that should be used for target prediction. [required]" name="itable" optional="False" type="data" />
29 <param format="qza,no_unzip.zip" label="--i-sample-estimator: ARTIFACT SampleEstimator[Regressor] Sample regressor trained with fit_regressor. [required]" name="isampleestimator" optional="False" type="data" />
30 <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
31
32 </inputs>
33
34 <outputs>
35 <data format="qza" label="${tool.name} on ${on_string}: predictions.qza" name="opredictions" />
36
37 </outputs>
38
39 <help><![CDATA[
40 Use trained regressor to predict target values for new samples.
41 ###############################################################
42
43 Use trained estimator to predict target values for new samples. These will
44 typically be unseen samples, e.g., test data (derived manually or from
45 split_table) or samples with unknown values, but can theoretically be any
46 samples present in a feature table that contain overlapping features with
47 the feature table used to train the estimator.
48
49 Parameters
50 ----------
51 table : FeatureTable[Frequency]
52 Feature table containing all features that should be used for target
53 prediction.
54 sample_estimator : SampleEstimator[Regressor]
55 Sample regressor trained with fit_regressor.
56 n_jobs : Int, optional
57 Number of jobs to run in parallel.
58
59 Returns
60 -------
61 predictions : SampleData[RegressorPredictions]
62 Predicted target values for each input sample.
63 ]]></help>
64 <macros>
65 <import>qiime_citation.xml</import>
66 </macros>
67 <expand macro="qiime_citation"/>
68 </tool>