diff image_learner.xml @ 12:bcfa2e234a80 draft

planemo upload for repository https://github.com/goeckslab/gleam.git commit 96bab8325992d16fcaad8e0a4dc4c62b00e2abc2

--- a/image_learner.xml	Sat Oct 18 03:17:09 2025 +0000
+++ b/image_learner.xml	Fri Nov 21 15:58:13 2025 +0000
@@ -321,46 +321,6 @@
             <param name="input_csv" value="mnist_subset.csv" ftype="csv" />
             <param name="image_zip" value="mnist_subset.zip" ftype="zip" />
             <param name="model_name" value="resnet18" />
-            <output name="output_report">
-                <assert_contents>
-                    <has_text text="Results Summary" />
-                    <has_text text="Train/Validation Results" />
-                    <has_text text="Test Results" />
-                </assert_contents>
-            </output>
-
-            <output_collection name="output_pred_csv" type="list" >
-                <element name="predictions.csv" >
-                    <assert_contents>
-                        <has_n_columns n="1" />
-                    </assert_contents>
-                </element>
-            </output_collection>
-        </test>
-         <test expect_num_outputs="3">
-            <param name="input_csv" value="mnist_subset.csv" ftype="csv" />
-            <param name="image_zip" value="mnist_subset.zip" ftype="zip" />
-            <param name="model_name" value="vit_b_16" />
-            <output name="output_report">
-                <assert_contents>
-                    <has_text text="Results Summary" />
-                    <has_text text="Train/Validation Results" />
-                    <has_text text="Test Results" />
-                </assert_contents>
-            </output>
-
-            <output_collection name="output_pred_csv" type="list" >
-                <element name="predictions.csv" >
-                    <assert_contents>
-                        <has_n_columns n="1" />
-                    </assert_contents>
-                </element>
-            </output_collection>
-        </test>
-        <test expect_num_outputs="3">
-            <param name="input_csv" value="mnist_subset.csv" ftype="csv" />
-            <param name="image_zip" value="mnist_subset.zip" ftype="zip" />
-            <param name="model_name" value="resnet18" />
             <param name="augmentation" value="random_horizontal_flip,random_vertical_flip,random_rotate" />
             <output name="output_report">
                 <assert_contents>
@@ -494,25 +454,6 @@
             </output_collection>
         </test> -->
         <!-- Test 9: PoolFormerV2 model configuration - verifies custom_model parameter persists in config -->
-        <test expect_num_outputs="3">
-            <param name="input_csv" value="mnist_subset.csv" ftype="csv" />
-            <param name="image_zip" value="mnist_subset.zip" ftype="zip" />
-            <param name="model_name" value="poolformerv2_s12" />
-            <output name="output_report">
-                <assert_contents>
-                    <has_text text="Results Summary" />
-                    <has_text text="Train/Validation Results" />
-                    <has_text text="Test Results" />
-                </assert_contents>
-            </output>
-            <output_collection name="output_pred_csv" type="list" >
-                <element name="predictions.csv" >
-                    <assert_contents>
-                        <has_n_columns n="1" />
-                    </assert_contents>
-                </element>
-            </output_collection>
-        </test>
         <!-- Test 10: Multi-class classification with ROC curves - verifies robust ROC-AUC plot generation -->
         <!-- <test expect_num_outputs="3">
             <param name="input_csv" value="mnist_subset.csv" ftype="csv" />
@@ -537,6 +478,27 @@
                 </element>
             </output_collection>
         </test> -->
+        <test expect_num_outputs="3">
+            <param name="input_csv" value="mnist_subset_binary.csv" ftype="csv" />
+            <param name="image_zip" value="mnist_subset.zip" ftype="zip" />
+            <param name="model_name" value="resnet18" />
+            <param name="customize_defaults" value="true" />
+            <param name="threshold" value="0.6" />
+            <output name="output_report">
+                <assert_contents>
+                    <has_text text="Accuracy" />
+                    <has_text text="Precision" />
+                    <has_text text="Learning Curves Label Accuracy" />
+                </assert_contents>
+            </output>
+            <output_collection name="output_pred_csv" type="list" >
+                <element name="predictions.csv" >
+                    <assert_contents>
+                        <has_n_columns n="1" />
+                    </assert_contents>
+                </element>
+            </output_collection>
+        </test>
     </tests>
     <help>
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