Update Space (evaluate main: e179b5b8)

README.md

@@ -1,6 +1,6 @@
 ---
-title: Pearson Correlation Coefficient
-emoji: 🤗
+title: Pearson Correlation Coefficient 
+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: >-
-  Pearson correlation coefficient and p-value for testing non-correlation.
-
-  The Pearson correlation coefficient measures the linear relationship between
-  two datasets. The calculation of the p-value relies on the assumption that
-  each dataset is normally distributed. Like other correlation coefficients,
-  this one varies between -1 and +1 with 0 implying no correlation. Correlations
-  of -1 or +1 imply an exact linear relationship. Positive correlations imply
-  that as x increases, so does y. Negative correlations imply that as x
-  increases, y decreases.
-
-  The p-value roughly indicates the probability of an uncorrelated system
-  producing datasets that have a Pearson correlation at least as extreme as the
-  one computed from these datasets.
+- evaluate
+- metric
 ---
+
 # Metric Card for Pearson Correlation Coefficient (pearsonr)