gluonts-forecasting-notebooks-1/informers_for_LSTF.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "informers for LSTF.ipynb",
      "private_outputs": true,
      "provenance": [],
      "authorship_tag": "ABX9TyN7NEAsj4c9475ydcDzdUKe",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mmaithani/data-science/blob/main/informers_for_LSTF.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hlt4oBEDC4BT"
      },
      "source": [
        "#Clone the repo"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KS6sPDs8CT5w"
      },
      "source": [
        "!git clone https://github.com/zhouhaoyi/Informer2020.git"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HcPzEXANEFOt"
      },
      "source": [
        "% cd Informer2020"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lqgl4w_TCsM0"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SCLr21RCC8Dm"
      },
      "source": [
        "# install dependency"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xXLMnXh2Cf3q"
      },
      "source": [
        "! pip install -r requirements.txt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ygopd7BWCmLu"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AHZzCgSSHrTD"
      },
      "source": [
        "f=pd.read_csv(\"/content/Informer2020/data/ETT/ETTh1.csv\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EZ-MpTIYHzH9"
      },
      "source": [
        "f.head()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RNaGPMlhH0We"
      },
      "source": [
        "m1=pd.read_csv(\"/content/Informer2020/data/ETT/ETTm1.csv\")\r\n",
        "m1.head()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "odttUSOCJjxL"
      },
      "source": [
        "# run code in local machine as it takes time and colab doesnt support full requirements"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U16koLR1IT6g"
      },
      "source": [
        "# ETTh1\r\n",
        "!python -u main_informer.py --model informer --data ETTh1 --attn prob"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aniLMuB1IpFZ"
      },
      "source": [
        "# ETTh2\r\n",
        "!python -u main_informer.py --model informer --data ETTh2 --attn prob"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PuP3OmZTIugW"
      },
      "source": [
        "# ETTm1\r\n",
        "python -u main_informer.py --model informer --data ETTm1 --attn prob"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sXXHK1xcJMas"
      },
      "source": [
        "![result](https://github.com/zhouhaoyi/Informer2020/raw/main/img/result_univariate.png)\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-buU5XSCJBOj"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}