Mercurial > repos > q2d2 > qiime2__sample_classifier__summarize

changeset 5:e56a7f3e8b05 draft default tip

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 5f71b597c9495eae67a447744fded834f56ca1f7
author q2d2
date Wed, 30 Oct 2024 19:56:16 +0000
parents 10191f1db325
children
files qiime2__sample_classifier__summarize.xml
diffstat 1 files changed, 8 insertions(+), 5 deletions(-) [+]
line wrap: on
line diff
--- a/qiime2__sample_classifier__summarize.xml	Mon Jun 03 23:31:41 2024 +0000
+++ b/qiime2__sample_classifier__summarize.xml	Wed Oct 30 19:56:16 2024 +0000
@@ -6,14 +6,17 @@
 -->
 <!--
 This tool was automatically generated by:
-    q2galaxy (version: 2024.5.0)
+    q2galaxy (version: 2024.10.0)
 for:
-    qiime2 (version: 2024.5.0)
+    qiime2 (version: 2024.10.1)
 -->
-<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2024.5.0+q2galaxy.2024.5.0" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2024.10.0+q2galaxy.2024.10.0" profile="22.05" license="BSD-3-Clause">
     <description>Summarize parameter and feature extraction information for a trained estimator.</description>
+    <xrefs>
+        <xref type="bio.tools">qiime2</xref>
+    </xrefs>
     <requirements>
-        <container type="docker">quay.io/qiime2/amplicon:2024.5</container>
+        <container type="docker">quay.io/qiime2/amplicon:2024.10</container>
     </requirements>
     <version_command>q2galaxy version sample_classifier</version_command>
     <command detect_errors="exit_code">q2galaxy run sample_classifier summarize '$inputs'</command>
@@ -23,8 +26,8 @@
     <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[Classifier]"/>
                 <filter type="add_value" value="SampleEstimator[Regressor]"/>
-                <filter type="add_value" value="SampleEstimator[Classifier]"/>
             </options>
             <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleEstimator[Classifier]', 'SampleEstimator[Regressor]']</validator>
         </param>