annotate qiime2/qiime_sample-classifier_predict-regression.xml @ 5:a025a4a89e07 draft

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author florianbegusch
date Mon, 05 Aug 2019 01:29:30 -0400
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1 <?xml version="1.0" ?>
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2 <tool id="qiime_sample-classifier_predict-regression" name="qiime sample-classifier predict-regression" version="2019.4">
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3 <description> - Use trained regressor to predict target values for new samples.</description>
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4 <requirements>
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5 <requirement type="package" version="2019.4">qiime2</requirement>
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6 </requirements>
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7 <command><![CDATA[
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8 qiime sample-classifier predict-regression
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9
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10 --i-table=$itable
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11 --i-sample-estimator=$isampleestimator
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12
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13 #set $pnjobs = '${GALAXY_SLOTS:-4}'
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14
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15 #if str($pnjobs):
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16 --p-n-jobs="$pnjobs"
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17 #end if
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18
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19 --o-predictions=opredictions
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20 ;
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21 cp opredictions.qza $opredictions
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22 ]]></command>
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23 <inputs>
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24 <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table containing all features that should be used for target prediction. [required]" name="itable" optional="False" type="data"/>
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25 <param format="qza,no_unzip.zip" label="--i-sample-estimator: ARTIFACT SampleEstimator[Regressor] Sample regressor trained with fit_regressor. [required]" name="isampleestimator" optional="False" type="data"/>
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26 </inputs>
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27 <outputs>
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28 <data format="qza" label="${tool.name} on ${on_string}: predictions.qza" name="opredictions"/>
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29 </outputs>
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30 <help><![CDATA[
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31 Use trained regressor to predict target values for new samples.
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32 ###############################################################
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33
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34 Use trained estimator to predict target values for new samples. These will
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35 typically be unseen samples, e.g., test data (derived manually or from
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36 split_table) or samples with unknown values, but can theoretically be any
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37 samples present in a feature table that contain overlapping features with
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38 the feature table used to train the estimator.
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39
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40 Parameters
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41 ----------
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42 table : FeatureTable[Frequency]
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43 Feature table containing all features that should be used for target
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44 prediction.
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45 sample_estimator : SampleEstimator[Regressor]
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46 Sample regressor trained with fit_regressor.
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47
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48 Returns
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49 -------
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50 predictions : SampleData[RegressorPredictions]
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51 Predicted target values for each input sample.
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52 ]]></help>
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53 <macros>
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54 <import>qiime_citation.xml</import>
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55 </macros>
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56 <expand macro="qiime_citation"/>
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57 </tool>