{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d071ac3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sagemaker\n",
    "from sagemaker.xgboost import XGBoost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ef7c719",
   "metadata": {},
   "outputs": [],
   "source": [
    "role = sagemaker.get_execution_role()\n",
    "subnets=None\n",
    "security_group_ids=None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d802ab00",
   "metadata": {},
   "outputs": [],
   "source": [
    "! cat src/requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "35884134",
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_estimator = XGBoost(\n",
    "    source_dir = \"src\",\n",
    "    entry_point=\"hello_ray.py\",\n",
    "    subnets=subnets,\n",
    "    security_group_ids=security_group_ids,\n",
    "    role=role,\n",
    "    instance_count=5,\n",
    "    instance_type=\"ml.m5.large\",\n",
    "    framework_version=\"1.3-1\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a5efd25",
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_estimator.fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5370b74d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_python3",
   "language": "python",
   "name": "conda_python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}