# HG changeset patch
# User q2d2
# Date 1746471805 0
# Node ID 028961beb681173d50fa1692adae65d7f052f9d7
# Parent  a400ec06bae3782b85f6ef102809ab38a27ae852
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit b1fccfb38b4873cd4699743033449014a2978e7d

diff -r a400ec06bae3 -r 028961beb681 qiime2__sample_classifier__regress_samples.xml
--- a/qiime2__sample_classifier__regress_samples.xml	Wed Oct 30 19:56:06 2024 +0000
+++ b/qiime2__sample_classifier__regress_samples.xml	Mon May 05 19:03:25 2025 +0000
@@ -1,22 +1,22 @@
 <?xml version='1.0' encoding='utf-8'?>
 <!--
-Copyright (c) 2024, QIIME 2 development team.
+Copyright (c) 2025, 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: 2024.10.0)
+    q2galaxy (version: 2025.4.0)
 for:
-    qiime2 (version: 2024.10.1)
+    qiime2 (version: 2025.4.0)
 -->
-<tool name="qiime2 sample-classifier regress-samples" id="qiime2__sample_classifier__regress_samples" version="2024.10.0+q2galaxy.2024.10.0" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier regress-samples" id="qiime2__sample_classifier__regress_samples" version="2025.4.0+q2galaxy.2025.4.0" profile="22.05" license="BSD-3-Clause">
     <description>Train and test a cross-validated supervised learning regressor.</description>
     <xrefs>
         <xref type="bio.tools">qiime2</xref>
     </xrefs>
     <requirements>
-        <container type="docker">quay.io/qiime2/amplicon:2024.10</container>
+        <container type="docker">quay.io/qiime2/amplicon:2025.4</container>
     </requirements>
     <version_command>q2galaxy version sample_classifier</version_command>
     <command detect_errors="exit_code">q2galaxy run sample_classifier regress_samples '$inputs'</command>
@@ -26,10 +26,10 @@
     <inputs>
         <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[RelativeFrequency]"/>
                 <filter type="add_value" value="FeatureTable[Frequency]"/>
                 <filter type="add_value" value="FeatureTable[PresenceAbsence]"/>
-                <filter type="add_value" value="FeatureTable[Composition]"/>
             </options>
             <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>