Mercurial > repos > bgruening > plotly_ml_performance_plots

diff plotly_ml_performance_plots.xml @ 4:f234e2e59d76 draft default tip

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/plotly_ml_performance_plots commit daa111fcd8391d451aab39110251864fd120edf0
author bgruening
date Wed, 07 Aug 2024 10:20:17 +0000
parents 1c5dcef5ce0f
children
line wrap: on
line diff
--- a/plotly_ml_performance_plots.xml	Tue May 07 14:11:16 2024 +0000
+++ b/plotly_ml_performance_plots.xml	Wed Aug 07 10:20:17 2024 +0000
@@ -1,4 +1,4 @@
-<tool id="plotly_ml_performance_plots" name="Plot confusion matrix, precision, recall and ROC and AUC curves" version="0.3" profile="22.05">
+<tool id="plotly_ml_performance_plots" name="Plot confusion matrix, precision, recall and ROC and AUC curves" version="0.4" profile="22.05">
     <description>of tabular data</description>
     <requirements>
 	<requirement type="package" version="0.10.0">galaxy-ml</requirement>
@@ -18,7 +18,7 @@
     </inputs>
 
     <outputs>
-        <data name="output_confusion" format="html" from_work_dir="output_confusion.html" label="Confusion matrix of tabular data on ${on_string}"/>
+        <data name="output_confusion" format="png" from_work_dir="output_confusion.png" label="Confusion matrix of tabular data on ${on_string}"/>
         <data name="output_prf" format="html" from_work_dir="output_prf.html" label="Precision, recall and f-score of tabular data on ${on_string}"/>
         <data name="output_roc" format="html" from_work_dir="output_roc.html" label="ROC and AUC curves of tabular data on ${on_string}"/>
     </outputs>
@@ -30,8 +30,7 @@
             <param name="infile_trained_model" value="model_binary_sgd.h5mlm" ftype="h5mlm"/>
 	    <output name="output_confusion">
                 <assert_contents>
-		    <has_size value="3486809" delta="10000" />
-		    <has_text text="html" />
+		    <has_size value="31751" delta="1000" />
 		</assert_contents>
             </output>
 	    <output name="output_prf">
@@ -47,8 +46,7 @@
             <param name="infile_trained_model" value="model_binary_linearsvm.h5mlm" ftype="h5mlm"/>
 	    <output name="output_confusion">
 	        <assert_contents>
-		    <has_size value="3486810" delta="10000" />
-		    <has_text text="html" />
+		    <has_size value="31983" delta="1000" />
                 </assert_contents>
 	    </output>
             <output name="output_prf">
@@ -70,8 +68,7 @@
             <param name="infile_trained_model" value="model_binary_rfc.h5mlm" ftype="h5mlm"/>
             <output name="output_confusion">
 	        <assert_contents>
-		    <has_size value="3486806" delta="10000" />
-		    <has_text text="html" />
+		    <has_size value="34096" delta="1000" />
                 </assert_contents>
 	    </output>
             <output name="output_prf">
@@ -93,8 +90,7 @@
             <param name="infile_trained_model" value="model_binary_knn.h5mlm" ftype="h5mlm"/>
             <output name="output_confusion">
 	        <assert_contents>
-		    <has_size value="3486856" delta="10000" />
-		    <has_text text="html" />
+		    <has_size value="32398" delta="1000" />
                 </assert_contents>
 	    </output>
             <output name="output_prf">
@@ -116,8 +112,7 @@
             <param name="infile_trained_model" value="model_multi_lr.h5mlm" ftype="h5mlm"/>
             <output name="output_confusion">
 	        <assert_contents>
-		    <has_size value="3486832" delta="10000" />
-		    <has_text text="html" />
+		    <has_size value="34474" delta="1000" />
                 </assert_contents>
 	    </output>
             <output name="output_prf">