replace infinite values with large values

to allow downstream calculations

Author: sidchaini

distclassipy/anomaly.py

@@ -157,6 +157,11 @@ def decision_function(self, X: np.ndarray) -> np.ndarray:
             # Scale scores for each metric (column) to be between 0 and 1
             # Compare with Rio notebook once.
             metric_scores_arr = minmax_scale(metric_scores_arr, axis=0)
+            
+            # remove infinities
+            metric_scores_arr[metric_scores_arr == np.inf] = 1e9 # A large number
+            metric_scores_arr[metric_scores_arr == -np.inf] = -1e9 # A large negative number
+
 
         # 2. Aggregate scores across all metrics for final anomaly score
         if self.metric_agg == "median":