UCR_Time_Series_Classification_Univariate_Datasets.ipynb

Multivariate Time Series Classification - LSST.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# UEA & UCR Time Series Classification Multivariate Datasets*: LSST\n\n*A. Bagnall, J. Lines, W. Vickers and E. Keogh, The UEA & UCR Time Series Classification Repository,\nwww.timeseriesclassification.com"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Import libraries"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:43:51.534347Z",
          "end_time": "2018-11-28T11:43:52.273256Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "%reload_ext autoreload\n%autoreload 2\n%matplotlib inline",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:43:53.072660Z",
          "end_time": "2018-11-28T11:43:56.540531Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "from fastai import *\nfrom fastai.vision import *\nimport fastai\nfastai.__version__",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 2,
          "data": {
            "text/plain": "'1.0.28'"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:43:56.543538Z",
          "end_time": "2018-11-28T11:43:56.565324Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import warnings\nwarnings.filterwarnings(\"ignore\")",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:43:56.567566Z",
          "end_time": "2018-11-28T11:43:56.685719Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "from tslearn.datasets import extract_from_zip_url",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Prepare time series data"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:43:56.688851Z",
          "end_time": "2018-11-28T11:43:56.712070Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "source_dir = 'http://www.timeseriesclassification.com/Downloads/'\ntarget_dir='my_data/Downloads'\nSEL_DATASET = 'LSST'",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:43:56.813050Z",
          "end_time": "2018-11-28T11:44:00.025449Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "extract_from_zip_url(\n    source_dir + SEL_DATASET + '.zip',\n    target_dir=target_dir + SEL_DATASET,\n    verbose=True)",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Successfully extracted file /tmp/tmp5awyosy8/LSST.zip to path my_data/DownloadsLSST\n",
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "execution_count": 6,
          "data": {
            "text/plain": "'my_data/DownloadsLSST'"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:44:35.863131Z",
          "end_time": "2018-11-28T11:44:35.885674Z"
        }
      },
      "cell_type": "markdown",
      "source": "There are 6 dimensions"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2018-11-28T11:46:47.664929Z",
          "end_time": "2018-11-28T11:46:47.737398Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "from scipy.io import arff\ntrain1 = pd.DataFrame(arff.loadarff('my_data/Downloads/LSST/LSSTDimension1_TRAIN.arff')[0])",
      "execution_count": 9,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "_draft": {
      "nbviewer_url": "https://gist.github.com/26020067f499d48dc52e5bcb8f5f1c57"
    },
    "gist": {
      "id": "26020067f499d48dc52e5bcb8f5f1c57",
      "data": {
        "description": "UCR_Time_Series_Classification_Univariate_Datasets.ipynb",
        "public": true
      }
    },
    "kernelspec": {
      "name": "fastai-v1",
      "display_name": "fastai-v1",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.7.0",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "notify_time": "30",
    "toc": {
      "nav_menu": {},
      "number_sections": true,
      "sideBar": true,
      "skip_h1_title": false,
      "base_numbering": 1,
      "title_cell": "Table of Contents",
      "title_sidebar": "Contents",
      "toc_cell": false,
      "toc_position": {},
      "toc_section_display": true,
      "toc_window_display": false
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}

UEA & UCR Time Series Classification Univariate Datasets - Earthquakes.ipynb

UEA & UCR Time Series Classification Univariate Datasets.ipynb

These are the same results shown in the gist.