Repository 'qiime2__sample_classifier__summarize'
hg clone https://toolshed.g2.bx.psu.edu/repos/q2d2/qiime2__sample_classifier__summarize

Changeset 2:d2cd82660ab6 (2023-06-08)
Previous changeset 1:8fa73ff177a2 (2023-01-13) Next changeset 3:87f5057466b2 (2024-04-25)
Commit message:
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 65e4952f33eb335528e8553150e9097e5ea8f556
modified:
qiime2__sample_classifier__summarize.xml
b
diff -r 8fa73ff177a2 -r d2cd82660ab6 qiime2__sample_classifier__summarize.xml
--- a/qiime2__sample_classifier__summarize.xml Fri Jan 13 23:00:27 2023 +0000
+++ b/qiime2__sample_classifier__summarize.xml Thu Jun 08 19:52:05 2023 +0000
[
@@ -6,14 +6,14 @@
 -->
 <!--
 This tool was automatically generated by:
-    q2galaxy (version: 2022.11.1)
+    q2galaxy (version: 2023.5.0)
 for:
-    qiime2 (version: 2022.11.1)
+    qiime2 (version: 2023.5.1)
 -->
-<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2022.11.1+q2galaxy.2022.11.1.2" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2023.5.0+q2galaxy.2023.5.0.2" profile="22.05" license="BSD-3-Clause">
     <description>Summarize parameter and feature extraction information for a trained estimator.</description>
     <requirements>
-        <container type="docker">quay.io/qiime2/core:2022.11</container>
+        <container type="docker">quay.io/qiime2/core:2023.5</container>
     </requirements>
     <version_command>q2galaxy version sample_classifier</version_command>
     <command detect_errors="exit_code">q2galaxy run sample_classifier summarize '$inputs'</command>
@@ -23,8 +23,8 @@
     <inputs>
         <param name="sample_estimator" type="data" format="qza" label="sample_estimator: SampleEstimator[Classifier | Regressor]" help="[required]  Sample estimator trained with fit_classifier or fit_regressor.">
             <options options_filter_attribute="metadata.semantic_type">
+                <filter type="add_value" value="SampleEstimator[Regressor]"/>
                 <filter type="add_value" value="SampleEstimator[Classifier]"/>
-                <filter type="add_value" value="SampleEstimator[Regressor]"/>
             </options>
             <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleEstimator[Classifier]', 'SampleEstimator[Regressor]']</validator>
         </param>