{
  "metadata": {
    "kernelspec": {
      "display_name": "Jupyter Notebook",
      "name": "jupyter"
    }
  },
  "nbformat_minor": 5,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "code",
      "id": "568745d9-7b53-450f-b9fb-f4e47c5f1f1b",
      "metadata": {
        "language": "python",
        "name": "cell1"
      },
      "source": "# Import python packages\nimport numpy as np\nimport pandas as pd\nfrom datetime import datetime, timedelta\nimport matplotlib.pyplot as plt\n\n# Import Snowpark\nfrom snowflake.snowpark.context import get_active_session\nsession = get_active_session()\n\n# import training_queries as tq\n# import model_evaluation as me\n# import x_cols\n\nimport warnings\nwarnings.filterwarnings('ignore')\n\n# from snowflake.ml.modeling.ensemble import RandomForestRegressor, RandomForestClassifier\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.calibration import calibration_curve\nfrom sklearn.metrics import classification_report",
      "execution_count": null,
      "outputs": []
    },
    {
      "id": "c3b025f0-086c-48d0-90fa-0ad9767a11e7",
      "cell_type": "code",
      "metadata": {
        "language": "python"
      },
      "source": "",
      "outputs": [],
      "execution_count": null
    }
  ]
}