final

predict_from_csv.ipynb

@@ -5,15 +5,7 @@
    "execution_count": null,
    "id": "fd9ef55b",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Trait predictions saved to: /Users/arashalborz/Desktop/Data/filled_predictions.csv\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "'''\n",
     "Script for getting prediction for a TEST.CSV file with three columns of text.\n",
@@ -23,7 +15,7 @@
     "separate prediction models (optimized random forests). \n",
     "The predictions are then applies as labels for each of the train columns.\n",
     ">>> Important: All the other columns in the original CSV file will be untouched (Q1, Q2, Q3 and Humility). \n",
-    "The CSV input file does not need to have empty values for traits, \n",
+    "The CSV input file does not need to have empty values for traits; \n",
     "the script replaces the predictions with annotations.\n",
     "'''\n",
     "\n",