latest

Author: Lee, Sangkeun (Matt)

notebook/reference.ipynb

@@ -292,7 +292,7 @@
     }
    ],
    "source": [
-    "asc.train_and_save_classifier(model, \"model.pkl\", model_type\n",
+    "asc.train_and_save_classifier(model, \"model_1.pkl\", model_type\n",
     "                            , input_cols=header_x, target_col=header_y\n",
     "                            , x_train=x_train, y_train=y_train, scaler_option=scaler_option, path_to_save = '.', accuracy=accuracy)"
    ]
@@ -313,7 +313,7 @@
    ],
    "source": [
     "# You can load the saved model by using pickle package\n",
-    "model_dict = pickle.load(open('model.pkl', 'rb'))\n",
+    "model_dict = pickle.load(open('model_1.pkl', 'rb'))\n",
     "\n",
     "# Let's assume that we have a input as follows\n",
     "x_to_predict = [[4.5, 2.4, 1.2, 4.2]]\n",
@@ -564,7 +564,7 @@
    ],
    "source": [
     "# saving the trained model in a file\n",
-    "asc.train_and_save(model, \"trained_model\", model_type\n",
+    "asc.train_and_save(model, \"model_2.pkl\", model_type\n",
     "                        , input_cols=header_x, target_col=header_y\n",
     "                        , x_train=x_train, y_train=y_train, scaler_option=scaler_option, path_to_save = '.', MAE=MAE, R2=R2)"
    ]
@@ -595,7 +595,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,