| Previous changeset 8:a3f644e241e6 (2025-11-01) |
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Commit message:
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 36ec48f8c55799a0c963733df13da30f19b1bdf3 |
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modified:
qiime2__sample_classifier__split_table.xml |
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| diff -r a3f644e241e6 -r e14a0ee1d000 qiime2__sample_classifier__split_table.xml --- a/qiime2__sample_classifier__split_table.xml Sat Nov 01 17:31:02 2025 +0000 +++ b/qiime2__sample_classifier__split_table.xml Wed Jan 28 16:36:43 2026 +0000 |
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| @@ -1,22 +1,22 @@ <?xml version='1.0' encoding='utf-8'?> <!-- -Copyright (c) 2025, QIIME 2 development team. +Copyright (c) 2026, 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: 2025.10.0) + q2galaxy (version: 2026.1.0) for: - qiime2 (version: 2025.10.0) + qiime2 (version: 2026.1.0) --> -<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2025.10.0+q2galaxy.2025.10.0" profile="22.05" license="BSD-3-Clause"> +<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2026.1.0+q2galaxy.2026.1.0" profile="22.05" license="BSD-3-Clause"> <description>Split a feature table into training and testing sets.</description> <xrefs> <xref type="bio.tools">qiime2</xref> </xrefs> <requirements> - <container type="docker">quay.io/qiime2/amplicon:2025.10</container> + <container type="docker">quay.io/qiime2/amplicon:2026.1</container> </requirements> <version_command>q2galaxy version sample_classifier</version_command> <command detect_errors="exit_code">q2galaxy run sample_classifier split_table '$inputs'</command> @@ -26,13 +26,13 @@ <inputs> <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Balance⁴ | PercentileNormalized⁵ | Design⁶ | Composition⁷]" 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[Design]"/> + <filter type="add_value" value="FeatureTable[PercentileNormalized]"/> <filter type="add_value" value="FeatureTable[Composition]"/> + <filter type="add_value" value="FeatureTable[PresenceAbsence]"/> + <filter type="add_value" value="FeatureTable[Frequency]"/> <filter type="add_value" value="FeatureTable[Balance]"/> <filter type="add_value" value="FeatureTable[RelativeFrequency]"/> - <filter type="add_value" value="FeatureTable[Frequency]"/> - <filter type="add_value" value="FeatureTable[PercentileNormalized]"/> - <filter type="add_value" value="FeatureTable[PresenceAbsence]"/> + <filter type="add_value" value="FeatureTable[Design]"/> </options> <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Balance]', 'FeatureTable[Composition]', 'FeatureTable[Design]', 'FeatureTable[Frequency]', 'FeatureTable[PercentileNormalized]', 'FeatureTable[PresenceAbsence]', 'FeatureTable[RelativeFrequency]']</validator> </param> |