Repository 'model_prediction'
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/model_prediction

Changeset 17:980bf31faa05 (2023-09-22)
Previous changeset 16:948eca2af157 (2023-08-09) Next changeset 18:9991c4ddde14 (2023-10-02)
Commit message:
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 3c1e6c72303cfd8a5fd014734f18402b97f8ecb5
modified:
ml_visualization_ex.py
removed:
pdb70_cs219.ffdata
b
diff -r 948eca2af157 -r 980bf31faa05 ml_visualization_ex.py
--- a/ml_visualization_ex.py Wed Aug 09 13:09:16 2023 +0000
+++ b/ml_visualization_ex.py Fri Sep 22 17:36:36 2023 +0000
[
@@ -15,6 +15,7 @@
 from sklearn.metrics import (
     auc,
     average_precision_score,
+    confusion_matrix,
     precision_recall_curve,
     roc_curve,
 )
@@ -258,6 +259,30 @@
     os.rename(os.path.join(folder, "output.svg"), os.path.join(folder, "output"))
 
 
+def get_dataframe(file_path, plot_selection, header_name, column_name):
+    header = "infer" if plot_selection[header_name] else None
+    column_option = plot_selection[column_name]["selected_column_selector_option"]
+    if column_option in [
+        "by_index_number",
+        "all_but_by_index_number",
+        "by_header_name",
+        "all_but_by_header_name",
+    ]:
+        col = plot_selection[column_name]["col1"]
+    else:
+        col = None
+    _, input_df = read_columns(
+        file_path,
+        c=col,
+        c_option=column_option,
+        return_df=True,
+        sep="\t",
+        header=header,
+        parse_dates=True,
+    )
+    return input_df
+
+
 def main(
     inputs,
     infile_estimator=None,
@@ -271,6 +296,10 @@
     targets=None,
     fasta_path=None,
     model_config=None,
+    true_labels=None,
+    predicted_labels=None,
+    plot_color=None,
+    title=None,
 ):
     """
     Parameter
@@ -311,6 +340,18 @@
 
     model_config : str, default is None
         File path to dataset containing JSON config for neural networks
+
+    true_labels : str, default is None
+        File path to dataset containing true labels
+
+    predicted_labels : str, default is None
+        File path to dataset containing true predicted labels
+
+    plot_color : str, default is None
+        Color of the confusion matrix heatmap
+
+    title : str, default is None
+        Title of the confusion matrix heatmap
     """
     warnings.simplefilter("ignore")
 
@@ -534,6 +575,36 @@
 
         return 0
 
+    elif plot_type == "classification_confusion_matrix":
+        plot_selection = params["plotting_selection"]
+        input_true = get_dataframe(
+            true_labels, plot_selection, "header_true", "column_selector_options_true"
+        )
+        header_predicted = "infer" if plot_selection["header_predicted"] else None
+        input_predicted = pd.read_csv(
+            predicted_labels, sep="\t", parse_dates=True, header=header_predicted
+        )
+        true_classes = input_true.iloc[:, -1].copy()
+        predicted_classes = input_predicted.iloc[:, -1].copy()
+        axis_labels = list(set(true_classes))
+        c_matrix = confusion_matrix(true_classes, predicted_classes)
+        fig, ax = plt.subplots(figsize=(7, 7))
+        im = plt.imshow(c_matrix, cmap=plot_color)
+        for i in range(len(c_matrix)):
+            for j in range(len(c_matrix)):
+                ax.text(j, i, c_matrix[i, j], ha="center", va="center", color="k")
+        ax.set_ylabel("True class labels")
+        ax.set_xlabel("Predicted class labels")
+        ax.set_title(title)
+        ax.set_xticks(axis_labels)
+        ax.set_yticks(axis_labels)
+        fig.colorbar(im, ax=ax)
+        fig.tight_layout()
+        plt.savefig("output.png", dpi=125)
+        os.rename("output.png", "output")
+
+        return 0
+
     # save pdf file to disk
     # fig.write_image("image.pdf", format='pdf')
     # fig.write_image("image.pdf", format='pdf', width=340*2, height=226*2)
@@ -553,6 +624,10 @@
     aparser.add_argument("-t", "--targets", dest="targets")
     aparser.add_argument("-f", "--fasta_path", dest="fasta_path")
     aparser.add_argument("-c", "--model_config", dest="model_config")
+    aparser.add_argument("-tl", "--true_labels", dest="true_labels")
+    aparser.add_argument("-pl", "--predicted_labels", dest="predicted_labels")
+    aparser.add_argument("-pc", "--plot_color", dest="plot_color")
+    aparser.add_argument("-pt", "--title", dest="title")
     args = aparser.parse_args()
 
     main(
@@ -568,4 +643,8 @@
         targets=args.targets,
         fasta_path=args.fasta_path,
         model_config=args.model_config,
+        true_labels=args.true_labels,
+        predicted_labels=args.predicted_labels,
+        plot_color=args.plot_color,
+        title=args.title,
     )
b
diff -r 948eca2af157 -r 980bf31faa05 pdb70_cs219.ffdata
--- a/pdb70_cs219.ffdata Wed Aug 09 13:09:16 2023 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
[
@@ -1,189 +0,0 @@
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-            bootstrapped = {};
-        }
-
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-{
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-"logo_src": "/static/favicon.png",
-"enable_quotas": true,
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-"citation_url": "https://galaxyproject.org/citing-galaxy",
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-"upload_from_form_button": "always-on",
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-"logo_src_secondary": null,
-"aws_estimate": true,
-"single_user": false,
-"datatypes_disable_auto": false,
-"brand": "Europe",
-"mailing_lists": "https://galaxyproject.org/mailing-lists/",
-"python": [
-3,
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-"release_doc_base_url": "https://docs.galaxyproject.org/en/release_",
-"enable_openid": false,
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-"message_box_content": "You are using the new UseGalaxy.eu backend server, let us know if you encounter any issues!",
-"admin_tool_recommendations_path": "/opt/galaxy/config/tool_recommendations_overwrite.yml",
-"search_url": "https://galaxyproject.org/search/",
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-"lims_doc_url": "https://usegalaxy.org/u/rkchak/p/sts",
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-"version_minor": "",
-"helpsite_url": "https://help.galaxyproject.org/c/usegalaxy-eu-support",
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-"inactivity_box_content": "Your account has not been activated yet.  Feel free to browse around and see what's available, but you won't be able to upload data or run jobs until you have verified your email address.",
-"nginx_upload_path": "/_upload"
-}
-,
-            user: 
-    
-{
-"total_disk_usage": 0,
-"nice_total_disk_usage": "0 bytes",
-"quota_percent": null
-}
-,
-            session_csrf_token: 'c3ae71f65be7de55dd5bd5f97f316000'
-        };
-
-        config.set({
-            options: options,
-            bootstrapped: bootstrapped
-        });
-
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-
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-        config.addInitialization(function() {
-            if (parent.handle_minwidth_hint) {
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-    <body class="inbound">
-        
-    
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-    <div class="message mt-2 alert alert-danger">You are not allowed to access this dataset</div>
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