{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "847e4a0e",
   "metadata": {},
   "source": [
    "# Installation\n",
    "\n",
    "This section gives the recommended way to install MLITA. One can find the source code on Github https://zhaoyilin.github.io/mlita/."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17ad0fa8",
   "metadata": {},
   "source": [
    "## Prerequisites\n",
    "\n",
    "* Prerequisties:\n",
    "\n",
    "  - Python 3.6 or above\n",
    "  - numpy 1.13.1  \n",
    "  - pandas 1.4.4\n",
    "  - sklearn\n",
    "  - xgboost 1.7.6\n",
    "  - (optional) matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3b1410e",
   "metadata": {},
   "source": [
    "## Compiling from source code\n",
    "\n",
    "* Compile from source\n",
    "\n",
    "      git clone https://github.com/ZhaoYilin/mlita.git\n",
    "      cd mlita\n",
    "      python3 -m pip install -e .\n",
    "\n",
    "* Using pip to install python package on GitHub\n",
    "\n",
    "      pip install git+https://github.com/ZhaoYilin/mlita"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}