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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 5f71b597c9495eae67a447744fded834f56ca1f7
author q2d2
date Wed, 30 Oct 2024 19:56:23 +0000
parents 4b8696ef6dbe
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4:4b8696ef6dbe 5:555cb8da4688
4 4
5 Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause) 5 Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause)
6 --> 6 -->
7 <!-- 7 <!--
8 This tool was automatically generated by: 8 This tool was automatically generated by:
9 q2galaxy (version: 2024.5.0) 9 q2galaxy (version: 2024.10.0)
10 for: 10 for:
11 qiime2 (version: 2024.5.0) 11 qiime2 (version: 2024.10.1)
12 --> 12 -->
13 <tool name="qiime2 sample-classifier predict-classification" id="qiime2__sample_classifier__predict_classification" version="2024.5.0+q2galaxy.2024.5.0" profile="22.05" license="BSD-3-Clause"> 13 <tool name="qiime2 sample-classifier predict-classification" id="qiime2__sample_classifier__predict_classification" version="2024.10.0+q2galaxy.2024.10.0" profile="22.05" license="BSD-3-Clause">
14 <description>Use trained classifier to predict target values for new samples.</description> 14 <description>Use trained classifier to predict target values for new samples.</description>
15 <xrefs>
16 <xref type="bio.tools">qiime2</xref>
17 </xrefs>
15 <requirements> 18 <requirements>
16 <container type="docker">quay.io/qiime2/amplicon:2024.5</container> 19 <container type="docker">quay.io/qiime2/amplicon:2024.10</container>
17 </requirements> 20 </requirements>
18 <version_command>q2galaxy version sample_classifier</version_command> 21 <version_command>q2galaxy version sample_classifier</version_command>
19 <command detect_errors="exit_code">q2galaxy run sample_classifier predict_classification '$inputs'</command> 22 <command detect_errors="exit_code">q2galaxy run sample_classifier predict_classification '$inputs'</command>
20 <configfiles> 23 <configfiles>
21 <inputs name="inputs" data_style="staging_path_and_source_path"/> 24 <inputs name="inputs" data_style="staging_path_and_source_path"/>
22 </configfiles> 25 </configfiles>
23 <inputs> 26 <inputs>
24 <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency | RelativeFrequency | PresenceAbsence | Composition]" help="[required] Feature table containing all features that should be used for target prediction."> 27 <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency | RelativeFrequency | PresenceAbsence | Composition]" help="[required] Feature table containing all features that should be used for target prediction.">
25 <options options_filter_attribute="metadata.semantic_type"> 28 <options options_filter_attribute="metadata.semantic_type">
29 <filter type="add_value" value="FeatureTable[RelativeFrequency]"/>
26 <filter type="add_value" value="FeatureTable[Frequency]"/> 30 <filter type="add_value" value="FeatureTable[Frequency]"/>
27 <filter type="add_value" value="FeatureTable[PresenceAbsence]"/> 31 <filter type="add_value" value="FeatureTable[PresenceAbsence]"/>
28 <filter type="add_value" value="FeatureTable[RelativeFrequency]"/>
29 <filter type="add_value" value="FeatureTable[Composition]"/> 32 <filter type="add_value" value="FeatureTable[Composition]"/>
30 </options> 33 </options>
31 <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Composition]', 'FeatureTable[Frequency]', 'FeatureTable[PresenceAbsence]', 'FeatureTable[RelativeFrequency]']</validator> 34 <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Composition]', 'FeatureTable[Frequency]', 'FeatureTable[PresenceAbsence]', 'FeatureTable[RelativeFrequency]']</validator>
32 </param> 35 </param>
33 <param name="sample_estimator" type="data" format="qza" label="sample_estimator: SampleEstimator[Classifier]" help="[required] Sample classifier trained with fit_classifier."> 36 <param name="sample_estimator" type="data" format="qza" label="sample_estimator: SampleEstimator[Classifier]" help="[required] Sample classifier trained with fit_classifier.">