Mercurial > repos > q2d2 > qiime2__sample_classifier__split_table
diff qiime2__sample_classifier__split_table.xml @ 1:b3fdc6dd0eab draft
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 69da7976573cc07a363ac66bdacc9269d7cd3732
| author | q2d2 |
|---|---|
| date | Fri, 13 Jan 2023 23:00:23 +0000 |
| parents | de07769fd83f |
| children | a80604576ca2 |
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--- a/qiime2__sample_classifier__split_table.xml Mon Aug 29 20:25:11 2022 +0000 +++ b/qiime2__sample_classifier__split_table.xml Fri Jan 13 23:00:23 2023 +0000 @@ -1,34 +1,34 @@ <?xml version='1.0' encoding='utf-8'?> <!-- -Copyright (c) 2022, QIIME 2 development team. +Copyright (c) 2023, QIIME 2 development team. Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause) --> <!-- This tool was automatically generated by: - q2galaxy (version: 2022.8.1) + q2galaxy (version: 2022.11.1) for: - qiime2 (version: 2022.8.1) + qiime2 (version: 2022.11.1) --> -<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2022.8.0+q2galaxy.2022.8.1.2" profile="22.05" license="BSD-3-Clause"> +<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2022.11.1+q2galaxy.2022.11.1.2" profile="22.05" license="BSD-3-Clause"> <description>Split a feature table into training and testing sets.</description> <requirements> - <container type="docker">quay.io/qiime2/core:2022.8</container> + <container type="docker">quay.io/qiime2/core:2022.11</container> </requirements> <version_command>q2galaxy version sample_classifier</version_command> - <command detect_errors="aggressive">q2galaxy run sample_classifier split_table '$inputs'</command> + <command detect_errors="exit_code">q2galaxy run sample_classifier split_table '$inputs'</command> <configfiles> <inputs name="inputs" data_style="paths"/> </configfiles> <inputs> <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Balance⁴ | PercentileNormalized⁵ | Design⁶]" help="[required] Feature table containing all features that should be used for target prediction."> <options options_filter_attribute="metadata.semantic_type"> - <filter type="add_value" value="FeatureTable[PercentileNormalized]"/> + <filter type="add_value" value="FeatureTable[Design]"/> <filter type="add_value" value="FeatureTable[RelativeFrequency]"/> <filter type="add_value" value="FeatureTable[PresenceAbsence]"/> + <filter type="add_value" value="FeatureTable[PercentileNormalized]"/> + <filter type="add_value" value="FeatureTable[Frequency]"/> <filter type="add_value" value="FeatureTable[Balance]"/> - <filter type="add_value" value="FeatureTable[Design]"/> - <filter type="add_value" value="FeatureTable[Frequency]"/> </options> <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Balance]', 'FeatureTable[Design]', 'FeatureTable[Frequency]', 'FeatureTable[PercentileNormalized]', 'FeatureTable[PresenceAbsence]', 'FeatureTable[RelativeFrequency]']</validator> </param>