import shap in try except block

supervised/utils/shap.py

@@ -4,7 +4,15 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
-import shap
+shap_pacakge_available = False
+try:
+    # I'm tired of all shap dependency hell
+    # ugh
+    import shap
+    shap_pacakge_available = True
+except Exception:
+    pass
+
 from sklearn.preprocessing import OneHotEncoder
 
 from supervised.algorithms.registry import (
@@ -23,6 +31,8 @@
 class PlotSHAP:
     @staticmethod
     def is_available(algorithm, X_train, y_train, ml_task):
+        if not shap_pacakge_available:
+            return False
         # https://github.com/mljar/mljar-supervised/issues/112 disable for NN
         # https://github.com/mljar/mljar-supervised/issues/114 disable for CatBoost
         if algorithm.algorithm_short_name in ["Baseline", "Neural Network", "CatBoost"]: