{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vowpalwabbit import pyvw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'sklearn'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-3-b7c74cbf5af0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'sklearn'"
     ]
    }
   ],
   "source": [
    "import sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting scikit-learn==0.23.2\n",
      "  Using cached scikit_learn-0.23.2-cp36-cp36m-manylinux1_x86_64.whl (6.8 MB)\n",
      "Requirement already satisfied: numpy>=1.13.3 in ./.myenv/miniconda/envs/my-custom-jupyter-kernel/lib/python3.6/site-packages (from scikit-learn==0.23.2) (1.19.4)\n",
      "Collecting joblib>=0.11\n",
      "  Downloading joblib-1.0.0-py3-none-any.whl (302 kB)\n",
      "\u001b[K     |████████████████████████████████| 302 kB 24.2 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting scipy>=0.19.1\n",
      "  Using cached scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl (25.9 MB)\n",
      "Requirement already satisfied: numpy>=1.13.3 in ./.myenv/miniconda/envs/my-custom-jupyter-kernel/lib/python3.6/site-packages (from scikit-learn==0.23.2) (1.19.4)\n",
      "Collecting threadpoolctl>=2.0.0\n",
      "  Using cached threadpoolctl-2.1.0-py3-none-any.whl (12 kB)\n",
      "Installing collected packages: threadpoolctl, scipy, joblib, scikit-learn\n",
      "Successfully installed joblib-1.0.0 scikit-learn-0.23.2 scipy-1.5.4 threadpoolctl-2.1.0\n"
     ]
    }
   ],
   "source": [
    "!pip install scikit-learn==0.23.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sklearn"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_my-custom-jupyter-kernel",
   "language": "python",
   "name": "conda_my-custom-jupyter-kernel"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}