readme

README.md

@@ -1,6 +1,6 @@
 ---
-title: Regression Evaluator
-emoji: 📚
+title: Clustering Evaluator
+emoji: ✨
 colorFrom: pink
 colorTo: red
 sdk: gradio
@@ -8,5 +8,3 @@ sdk_version: 4.42.0
 app_file: app.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

clustering_evaluator.py

@@ -30,7 +30,8 @@ _CITATION = """
 _DESCRIPTION = """\
 This evaluator computes multiple clustering metrics to assess the quality of a clustering.
 By default, the evaluator works as in an unsupervised setting, evaluating the clustering just from
-the samples and the predictions. However, it allows to compute additional metrics when truth labels are passed too.
+the samples and the predictions.
+However, it allows to compute additional metrics when truth labels are passed too, which is not shown in this demo.
 """
 
 

gradio_tst.py

@@ -137,4 +137,4 @@ def launch_gradio_widget2(metric):
         # examples=[parse_test_cases(test_cases, feature_names, gradio_input_types)]
     )
 
-    iface.launch(share=True)
+    iface.launch(share=True)