Mercurial > repos > q2d2 > qiime2__sample_classifier__heatmap
diff qiime2__sample_classifier__heatmap.xml @ 3:d15d1e895aed draft
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 389df0134cd0763dcf02aac6e623fc15f8861c1e
author | q2d2 |
---|---|
date | Thu, 25 Apr 2024 21:26:42 +0000 |
parents | 5ceed9008edb |
children | 8fa6957e6cb0 |
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--- a/qiime2__sample_classifier__heatmap.xml Thu Jun 08 19:51:58 2023 +0000 +++ b/qiime2__sample_classifier__heatmap.xml Thu Apr 25 21:26:42 2024 +0000 @@ -1,31 +1,34 @@ <?xml version='1.0' encoding='utf-8'?> <!-- -Copyright (c) 2023, QIIME 2 development team. +Copyright (c) 2024, 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: 2023.5.0) + q2galaxy (version: 2024.2.1) for: - qiime2 (version: 2023.5.1) + qiime2 (version: 2024.2.0) --> -<tool name="qiime2 sample-classifier heatmap" id="qiime2__sample_classifier__heatmap" version="2023.5.0+q2galaxy.2023.5.0.2" profile="22.05" license="BSD-3-Clause"> +<tool name="qiime2 sample-classifier heatmap" id="qiime2__sample_classifier__heatmap" version="2024.2.0+q2galaxy.2024.2.1" profile="22.05" license="BSD-3-Clause"> <description>Generate heatmap of important features.</description> <requirements> - <container type="docker">quay.io/qiime2/core:2023.5</container> + <container type="docker">quay.io/qiime2/amplicon:2024.2</container> </requirements> <version_command>q2galaxy version sample_classifier</version_command> <command detect_errors="exit_code">q2galaxy run sample_classifier heatmap '$inputs'</command> <configfiles> - <inputs name="inputs" data_style="paths"/> + <inputs name="inputs" data_style="staging_path_and_source_path"/> </configfiles> <inputs> - <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency]" help="[required] Feature table containing all features that should be used for target prediction."> + <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."> <options options_filter_attribute="metadata.semantic_type"> + <filter type="add_value" value="FeatureTable[Composition]"/> <filter type="add_value" value="FeatureTable[Frequency]"/> + <filter type="add_value" value="FeatureTable[RelativeFrequency]"/> + <filter type="add_value" value="FeatureTable[PresenceAbsence]"/> </options> - <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Frequency]']</validator> + <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> </param> <param name="importance" type="data" format="qza" label="importance: FeatureData[Importance]" help="[required] Feature importances."> <options options_filter_attribute="metadata.semantic_type">