Undoing a commit

strmlt.py

@@ -1,5 +1,7 @@
+import logging
 import numpy as np
 import pandas as pd
+import sys
 import streamlit as st
 import uncurl
 from calibration import overconfidence
@@ -163,11 +165,24 @@ if __name__ == "__main__":
 
     # ---
 
-    fig = plotly_calibration(y_true, y_pred, n_bins=n_bins, strategy=strategy)
-    st.plotly_chart(fig, use_container_width=True)
+    for strategy in ['uniform', 'quantile']:
+        for n_bins in range(1, 300):
+            try:
+                fig = plotly_calibration(y_true, y_pred, n_bins=n_bins, strategy=strategy)
+                # st.plotly_chart(fig, use_container_width=True)
 
-    fig = plotly_calibration_odds(y_true, y_pred, n_bins=n_bins, strategy=strategy)
-    st.plotly_chart(fig, use_container_width=True)
+                fig = plotly_calibration_odds(y_true, y_pred, n_bins=n_bins, strategy=strategy)
+                # st.plotly_chart(fig, use_container_width=True)
+                
+            except:
+                st.warning("Hey! Unfortunately, there occured a mysterious error, which I haven't been able to reproduce locally. Try refreshing the page or changing the number of bins a bit. <3")
+
+                np.set_printoptions(threshold=sys.maxsize)
+                logging.info("=" * 40)
+                logging.info(f"n_bins={n_bins}, strategy={strategy}")
+                logging.info(f"true={repr(y_true)}")
+                logging.info(f"y_pred={repr(y_pred)}")
+                logging.info("=" * 40)
 
     # overconf = overconfidence(y_true, y_pred)
     # st.write(f"Your over/under- confidence score is {overconf:.2f}.")