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