Update Space (evaluate main: e179b5b8)

README.md

@@ -1,6 +1,6 @@
 ---
 title: Mahalanobis Distance
-emoji: 🤗
+emoji: 🤗 
 colorFrom: blue
 colorTo: red
 sdk: gradio
@@ -8,23 +8,10 @@ sdk_version: 3.0.2
 app_file: app.py
 pinned: false
 tags:
-  - evaluate
-  - metric
-description: >-
-  Compute the Mahalanobis Distance
-
-
-  Mahalonobis distance is the distance between a point and a distribution.
-
-  And not between two distinct points. It is effectively a multivariate
-  equivalent of the Euclidean distance.
-
-  It was introduced by Prof. P. C. Mahalanobis in 1936
-
-  and has been used in various statistical applications ever since
-
-  [source: https://www.machinelearningplus.com/statistics/mahalanobis-distance/]
+- evaluate
+- metric
 ---
+
 # Metric Card for Mahalanobis Distance
 
 ## Metric Description