Deep Learning Workshop

@@ -105,6 +105,7 @@ if __name__ == "__main__":
         print("Length sequence_adjust: {}".format(len(sequence_adjust)))
         integer_encoded = integer_encoder.fit_transform(list(sequence_adjust))
         integer_encoded = np.array(integer_encoded).reshape(-1, 1)
+        print("integer_encoded: {}".format(integer_encoded))
         one_hot_encoded = one_hot_encoder.fit_transform(integer_encoded)
         print(" shape: {}".format(one_hot_encoded.toarray().shape))
         input_features.append(one_hot_encoded.toarray())