# HG changeset patch
# User q2d2
# Date 1769618208 0
# Node ID 87023c8f07e2a98aa47ff025ed53ac6714d0861f
# Parent  b615e7adb4a9e34dd66043768530ebee39c12f6e
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 36ec48f8c55799a0c963733df13da30f19b1bdf3

diff -r b615e7adb4a9 -r 87023c8f07e2 qiime2__sample_classifier__predict_regression.xml
--- a/qiime2__sample_classifier__predict_regression.xml	Sat Nov 01 17:31:06 2025 +0000
+++ b/qiime2__sample_classifier__predict_regression.xml	Wed Jan 28 16:36:48 2026 +0000
@@ -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 predict-regression" id="qiime2__sample_classifier__predict_regression" version="2025.10.0+q2galaxy.2025.10.0" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier predict-regression" id="qiime2__sample_classifier__predict_regression" version="2026.1.0+q2galaxy.2026.1.0" profile="22.05" license="BSD-3-Clause">
     <description>Use trained regressor to predict target values for new samples.</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 predict_regression '$inputs'</command>
@@ -27,8 +27,8 @@
         <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[PresenceAbsence]"/>
                 <filter type="add_value" value="FeatureTable[Frequency]"/>
-                <filter type="add_value" value="FeatureTable[PresenceAbsence]"/>
                 <filter type="add_value" value="FeatureTable[RelativeFrequency]"/>
             </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>