Create ExplainableAI.py

.ai/models/ExplainableAI.py

@@ -0,0 +1,16 @@
+import numpy as np
+from lime.lime_tabular import LimeTabularExplainer
+
+class ExplainableAI:
+    def __init__(self, model, data):
+        self.model = model
+        self.data = data
+        self.explainer = LimeTabularExplainer(self.data, feature_names=self.data.columns, class_names=['class0', 'class1'])
+
+    def explain_instance(self, instance):
+        exp = self.explainer.explain_instance(instance, self.model.predict_proba, num_features=5)
+        return exp.as_list()
+
+    def explain_model(self):
+        exp = self.explainer.explain_model(self.model, self.data, num_features=5)
+        return exp.as_list()