{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

Re:Invent 2019 | IoT-309

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Combining IoT and Machine Learning for Predictive Maintenance

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\n", "A multivariate LSTM neural network for prediction future pollution levels to efficiently operate air filters

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# About" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Predicting failure, remaining useful life or operating conditions is a classic request of IoT systems. By predicting which devices will fail, proactive maintenance can be scheduled to increase device uptime, optimize asset utilization, avoid costly catastrophic device failure and optimize field service efficiency. In this Notebook template, we will show how to implement a multivariate LSTM algorithm to predict pollution levels using the [Beijing PM2.5 data set](https://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This Jupyter notebook is part of a larger solution intended to be deployed to your AWS account. Run through this notebook after air pollution data has been published into your account and stored in IoT Analytics. After finishing all steps in this notebook, you will move on to the next stage of the solution which is deploying your LSTM model to an edge solution with IoT Greengrass." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

\n", "Architecture diagram

\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Set-up: import required notebook libraries" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

This notebook requires a few basic Python libraries including `pandas`, `numpy`, `keras`, `tensorflow`, `scikit-learn` and `matplotlib`.

" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using TensorFlow backend.\n" ] } ], "source": [ "from pandas import read_csv\n", "from datetime import datetime\n", "from math import sqrt\n", "from numpy import concatenate\n", "from matplotlib import pyplot\n", "from pandas import to_datetime\n", "from pandas import DataFrame\n", "from pandas import concat\n", "from sklearn.preprocessing import MinMaxScaler\n", "from sklearn.preprocessing import LabelEncoder\n", "from sklearn.metrics import mean_squared_error\n", "from keras.models import Sequential\n", "from keras.layers import Dense\n", "from keras.layers import LSTM\n", "from joblib import dump, load\n", "import numpy\n", "import sagemaker\n", "import pickle\n", "import warnings\n", "import tensorflow\n", "from sagemaker.tensorflow import TensorFlow\n", "import json\n", "from sagemaker import get_execution_role\n", "from urllib.parse import urlparse\n", "import os\n", "import boto3\n", "import tarfile\n", "from keras.models import model_from_json\n", "from IPython.display import display, Markdown\n", "import traceback\n", " \n", "###Turn off warnings\n", "warnings.simplefilter(action='ignore', category=FutureWarning)\n", "if type(tensorflow.contrib) != type(tensorflow): tensorflow.contrib._warning = None" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Background: problem description and approach" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to support business decision making, we must be able to take action on predictive analytics. For predictive operational analysis, we want to know what would be the operating condition of equipment to optimize the parameters for increasing the life of that equipment. To solve this for real-world equipment that has multiple operation modes and reports time-series measurements from multiple sensors, our primary approach is an Long Short-Term Memory neural network in TensorFlow. LSTM provides multivariate time series forecasting to predict the future pollution levels which could be used to automatically alter the parameters of the air filter to improve efficiency and increase remaining useful life (RUL) of air filters.\n", "\n", "In the [CRISP-DM lifecycle](https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining), we have already completed the Business Understanding phase in knowing our objective is to increase RUL of our air filtration equipment and that we are going to try using pollution forecasting to drive improvements. The next phase, which starts in this notebook, is Data Understanding. We need to evaluate the available data, look for trends, and assess whether this data will be useful to our objective.\n", "\n", "BEST PRACTICES NOTE Different modeling approaches provide different business trade-offs, and different teams may opt for different approaches. For example, although the field service team is interested in the most precise prediction for any given filter in order to eliminate false positives and unnecessary truck rolls, a supervisor is interested in all possible devices that aren't operating at full efficiency to increase operational equipment effectiveness (OEE)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Step 1 | Loading data

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data set description\n", "\n", "The Beijing PM2.5 is an hourly data set that contains the PM2.5 data of US Embassy in Beijing along with meteorological data from Beijing Capital International Airport. The data is collected for time period starting from Jan 1st, 2010 to Dec 31st, 2014. \n", "\n", "The data contain features like PM2.5 concentration (pollution level), dew point, temperature, pressure, wind direction, wind speed, cumulated hours of snow and cumulated hours of rain.\n", "\n", "

Data Set Attribution:

Song Xi Chen, Guanghua School of Management, Center for Statistical Science, Peking University\n", "\n", "The data can be downloaded from this page: https://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data has been split into training, validation and test data sets. The first 2 years of data is used for training data, followed by the next 2 year of data as validation to check the training accuracy. The last 1 year of data will later be used for device simulation testing." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To load data already ingested from your device to the cloud, we need to set up an IoT Analytics SDK client to access your data set. This code initializes the client, fetches content from your data set, sorts by time, and previews the first five rows." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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pollutiondewtemppresswnd_dirwnd_spdsnowrain
date
2010-01-02 00:00:00129.0-16-4.01020.021.7900
2010-01-02 01:00:00148.0-15-4.01020.022.6800
2010-01-02 02:00:00159.0-11-5.01021.023.5700
2010-01-02 03:00:00181.0-7-5.01022.025.3610
2010-01-02 04:00:00138.0-7-5.01022.026.2520
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" ], "text/plain": [ " pollution dew temp press wnd_dir wnd_spd snow \\\n", "date \n", "2010-01-02 00:00:00 129.0 -16 -4.0 1020.0 2 1.79 0 \n", "2010-01-02 01:00:00 148.0 -15 -4.0 1020.0 2 2.68 0 \n", "2010-01-02 02:00:00 159.0 -11 -5.0 1021.0 2 3.57 0 \n", "2010-01-02 03:00:00 181.0 -7 -5.0 1022.0 2 5.36 1 \n", "2010-01-02 04:00:00 138.0 -7 -5.0 1022.0 2 6.25 2 \n", "\n", " rain \n", "date \n", "2010-01-02 00:00:00 0 \n", "2010-01-02 01:00:00 0 \n", "2010-01-02 02:00:00 0 \n", "2010-01-02 03:00:00 0 \n", "2010-01-02 04:00:00 0 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "s3Bucket = \"XYZ-S3Bucket-XYZ\"\n", "dataset = \"XYZ-IotAnalyticsDataset-XYZ\"\n", "use_local_data = True\n", "\n", "if use_local_data:\n", " dataset_url = \"source_pollution.csv\"\n", "else:\n", " iotanalytics_client = boto3.client('iotanalytics')\n", " dataset_url = iotanalytics_client.get_dataset_content(datasetName = dataset)['entries'][0]['dataURI']\n", "\n", "dataset = read_csv(dataset_url, header=0, index_col='date')\n", "if dataset.empty:\n", " raise Exception('No data found')\n", "dataset.sort_index(inplace=True)\n", "dataset = dataset[['pollution', 'dew', 'temp', 'press', 'wnd_dir', 'wnd_spd', 'snow', 'rain']]\n", "dataset.drop_duplicates(inplace=True)\n", "dataset.to_csv('pollution.csv')\n", "\n", "# displays the first few entries of the DataFrame\n", "dataset.head() " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Start a new session in SageMaker and make the training data available in S3." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "###Upload this queried data to s3\n", "sagemaker_session = sagemaker.Session()\n", "uploaded_data_path = sagemaker_session.upload_data(path='pollution.csv', bucket=s3Bucket, key_prefix='data')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the columns to understand statistical properties of the data set." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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0NiajNsfLvvZOAA4dj3fRnSR8TZ/g45wu4HJjzFERORFYIiIvATcBdxpjnhSRXwM3APfbvweNMe8XkWuBW4G/qZL8mWNb6zEAGvYfC+V+fk03V03JDVg2Tr4qlOeGSbF31Rf/841oBQmDiDRwv3bpY/+qcT4/bq8+zx69yZEfzTrR/jPA5cB0u38acI3dHm9/Y49fIVV25l236zD3zt9a0T3irhR58u5wI0PPsgR0Kyok/SkI/uVYbrVUr8rBvI6r3riWdZLDFIvISBFZBbQAc4FtwCFjTK89pRk4226fDTQB2OOHgdNd7jlRROpEpK61tbWiRFx9zxJue2VLRfdIyqBlXtGPGBGS7V0bfCqpuOORlJ5LAoi7TYtI7M3Ql6I3xvQZYy4CRgOXAhdU+mBjzFRjzFhjzNhRo0ZVeruKqdTLIWw5wurRJ+UFVglJGT9JE5pjyXzXJXYw1okx5hCwAPgwcIqI5G38o4FddnsXcA6APf4eIDWzN+KeMt5na6fPDn26NXhAspBUv8qnUptuEpVcXMQ1WXCojT4WEQbw43UzSkROsdvvAj4NbCSn8D9vT5sAPG+3Z9rf2OPzTdwjESW47eXNjJk0KzFTxfv6c3/9mm5qgeTWnuSig7HJIdeS410AyI/XzVnANBEZSe7F8LQx5kUR2QA8KSI/BVYCD9nzHwIeE5F6oA24tgpyh8YDixsA6OrNadi41Wu+gY4MSdEnxSSl5Aga66ZcEtJvKYma5KLDU9EbY9YAF7vsbyBnry/c3wl8IRTpIqCwqsVtHugP6HXj38Kjqj6NlNsxT/BHdGTEnQNJWsZTZ8YW1IYo7HkLNrcwZZ67O2hfwMrhHb0ynSzY3MIlP5lbENLVO1O6e/v5yOT5vLI+ntmQSnIYeNfF7XVTZDtKVNHHwPWPvMUdc93dQQd69KGZbnJ/E9CpCMTk2ZtoO9bNjrZjgV5W+492sevQcX4wM5mLVvjuaFccjz6tr/jwSULdj7s4VNEXErfpxlYIv4p+WUMb233Mok3C52MQ3Oy3ftKQdPUWlV06bsWSBOIeA3B7elwm1JpX9IWVIW59OGi6GZRk894j/PTFDa521xdW7+aTty0ser+4K7tfjDG8sn7vsMWsg5rSsjL4XPlgbDrKPQriHp9KzYSpWiLvfRMXboOx1z24nAeXbKf1aFfg+w2abvxV9hkrmvnnJ1YGfk6lTF/RzMTHVvD4mzuByn2Q427clVKxH31Icijl41aH1UYfE/kCSEoHaCDWjS2ZMZNmsd8q+EoGiv3qvW8/s5qZq3eX/ZxyyUca3Hv4OOA+o9dPEpJSjsWITL4E5kN/v+GuVysLVZImjIvvvC48EhNm4G8yWkbecjHCpUaUU0mSrvjyFJPTOdmkFim3XibRdLNoSyt3vVpZ8MFAJCQLkvBtmSlFv2XfER5asr2sa5PSLvIN1E3R1wL5rxY304Ufc8zAJ3JCs6+GO/R090VrFk2Id2Ui8DMzNjVcPWUJ3X393PDRcwNfm5SG0Reye6UX/++pVTy3cpf3iTGRVIXtRduxbtbtOszHP1AQsM+jR2GMCWXwLok9+rhEiqsOpSoefZoop8eQL4C4CyLPQFAzF0VfjfqaFCVfKvcTUjSB+PLDy/nyw2/S1dvnfbILlaY5jXkWNklp0843TeE42/6jXUMWD68WmVL0lZCQKjFQOd069OV4kiRpGnYQXH2QfV2XjPRu2ZdbqycuXZMUHZcEYuvRF9l2Mvanr/peNrQSal7RDwzGJqRh9OejV4ZcO9Prblie3HGFpvXC/8TYSsMUJ6RCDyGJMlUPp0tl3OEYal7RD5KMStgX8mBsMlLlzbBBVKd9s4z7ZIZyg5qFK0UoFJZN5sqqCF4uwlH0wTI1GFsJSal0pWLdlFMf4p6oEZRCPR/UB9ntuiThVc+MCUf2JA7GRk2cOTDu7sVs3NMeowRDqfke/cCEqXjFGKC/pI0+YmESQO6z13/pJCYEQhGR/aZFB2MrJ+is8DAJouSjkK/mFX3S6CvhB15O403KRLBaI6pB4fbOHlfPniSWelwyxd1BEqRkO4xCPlX0lqT0gAqDelVKPl1//9By7ikSAz8JFDaEZA4mRoff1H/oh69w3QPLh1+fwPyLWqQ4QnkUJeaJfKroLUnp+ZZau7aSSrKt9Ri3F4mBn2Sc3kLBbPSxG29c8VPLdh86Hqj7W7fj4LB9aVhKsFYYOhgbzfyYQlTRW5LSAcrb6N3kSYqMUeDHB7kUcav5cstqZdMh/nzy/IHJf+UWeRJ79IXMeLs5kq/M7t5+Orp7q/6cYgjxm9JU0VuS0i7C9pZISLI8GfQzHqqinT7IfgatklKOeYK6FG7ddySc54Zyl3Ap/Gr+6ayNkXxl/uv0NVz4/Zer/hw/uH1oqo3eBws2t4RynzSYbpIhYTTsONBR5pUp8yctIKwyDnusJwyS9hKOCi9Frl43Prj+kbdCuU9SKmFfyHIkJV3lErS3k7Z5A4WEVV4pL3YlZGp2wtTWfUeSNSpvMQ4bfaGdtTy7a7qafEkFnVbt7SCyMMXpKvbMU7I8dGZs9fjbB5YPrNwEyWkYTtPNMPtuxLIkhTSmu5jMUQ2SJm0wtr7lCI8s3R63GLHg9KNPrHuliJwjIgtEZIOIrBeRG+3+00RkrohstX9PtftFRKaISL2IrBGRS6qdiHLoKQhpnAYb/dL6/UWPXXn34iG/jTF09vSV/QL77fKd5V1YJsXEdNov/UWvtOcm1L3Si7DqYTJq8yCfu2cpb+88FLcYsZNk98pe4NvGmAuBy4BvisiFwCRgnjHmfGCe/Q0wDjjf/psI3B+61CEw3CwSkyAFOEMyFIo0c1VxU9OGginX986v54Jb5nDoeE9Zcnz3ubUc765+nOxCCvVzufo6bjVfbo86rMBfSYt1czyCmOuJRUqXYxSdEk9Fb4zZY4x5224fATYCZwPjgWn2tGnANXZ7PPCoybEMOEVEzgpd8tIyB7+mCnKUQ59xmm4KXkYB7vOsXVCk2BdCU1sHB491B5YvDoLFuqmiIGUQVJ6wxE9aPig54vrQDGSjF5ExwMXAcuBMY8wee2gvcKbdPhtoclzWbPftIUEktR2UcosLs5f2sV8u4HffWbr4k2b98LVmrIctdMeBY6xqOsT4i84OU7TwCKmMVdEni5jHYv0rehE5GZgBfMsY0+5sdMYYIyKBqpaITCRn2uF973tfkEvDYdgncjJaxpAefcGxICL6SU97Z3yzBYcRsoIr5ps87u7FdHT3VV3RFx+MrepjHc9PRn1W4jcjgk8/ehE5kZySf9wY86zdvS9vkrF/8zOXdgHnOC4fbfcNwRgz1Rgz1hgzdtSoUYWHq05hM0jK/JLBEAimJr1uBGHRltbB3x6LNgSlo2DcobOnr+QAeKUMC9bmUYpquskeXl+iiZgZKzkpHwI2GmPucByaCUyw2xOA5x37v2y9by4DDjtMPAkmGS2jv8T65kn56qg2k1/aFPo91+067Lr/glvm8K/TV4f+vHIJq4iTNhhb65Rqu4lQ9MBHgL8HLheRVfbflcBk4NMishX4lP0NMBtoAOqBB4BvhC92+fT1G9qOdZfM+Okrmnl75/CIgFHQP8R0U75nUNqaeSl5nek+3t3H+t3uStt5bmHjufqeJUWvefbtYR+cFRPeDNcyvXfCebwSAs6qGJfbr6eN3hizhOJfzVe4nG+Ab1YoV0WUWo7tJy9u4DevN7pek+dfnsn18BonX1UF6YbT1dvHCSNGYIyhu3ewSz/cdJP95isydHWewjDF33pqJS+v38eaH/5lHOJVjPdSgjoYm3bcyrD0YGz1lX/NzIw1xrC3vZOX1rlbkeJsF3/w73P47Af/J+v3HOaAdXl0kyfYYGw4ssVNYROoa8x9aXX1uNu4kvYyjMu9UkkmcQ3M1oyif2ZFMzdPX1P0eNzR/uas3+t5ThC7a9IUXiU40zI489X93Dtt2NukzozNTqkoxShspuIRkD4pNvpMsLyhLW4RArP70PEhv7PSS3ejWNqKNYJibePVjS0lj8dNYTr7+w0NrUcHfveGHb4U2HXoeKDFqpXKKCxBZx0+2BHPJMWa6dF7kUQdevnti4b8DiJjGC+FOF4sbgra6RufNs8jL2n/87UGbp0z6GX0s9kbQ5fhI5PnA9GNOdU6peromubijgTVpGZ69F4kTX+4ypMwGeMkCb7JYbBiR+kvzaTVS8WbYT16R/RKNxIR6yYreE9USVaLWrBp+MpZSZMxTPymLUgObNhd3Fxx4GhXLF8HWS7DLHHh9+fws1kb4hYjNDKp6MtqSglrf0/VNQ3bF/V4cZRK6b4F2zzPCTJLVgSunLK46PGfvLhBe8sJ4YBjXYik0NHdxwOLt5d1rVu9Khm9sqynBCOTir4cDoQQyfFQRzcPLm6oWk8xzVEc87zV2DYkxIEfnGkJK11VGPN0pflgB2uaB+OwhxWGOEskKuZSCBR2kMQzTHGVBaKWBmM9GtQ/PbGy4kdMmrGWOev38sfnnMKfjjmt4vsVEnmPvgrP+8Kv3wCKDwy6VfqBiJQMvuzCWHA5iuz87F25rwodCK0dkvjy1h59iBw6nvsq6OktEbCmAhJYf2LDS5F7vwhqJ3ZQmih0Kc4Kcc+MVUVfDapVboFMN+lUYl4eCOlMVfY40tlDy5HO0O97+e0LQ79n3CRh8l6qFX0gm3UV5Rh4RsCHbNzTzluN/idyRa3kkqBUh+Spc4ahjx57yeMST/qCrhrmV8b3f3f2sHWQq8nlty/i0p/NC/2+nUVCW6SJYTNjPc7XmbEeFFOs4+8rHqmwmgzqoOEld6yrl1cKwhyMu3vxgM3a1/0zHL2yFG7pDqNxpPSjx5XefkNH1/B1WaulRFqP+PeUOVzmusVpJai3mnrdeFAsO9ftine6t1vj+u5za5n42Ao27z1S9n0DxbrJkBLL43yBeqXPS7nE9TGdxXLxIqt292K4u1fGW/DpVvQembes4QAvrN7t69xwBMr9cVMijQc6ADjWXb4rWdR1Je7K6YZfifx4KCVh8lKoeexS8eK3DtcebrFuSg7GqummMq6duiwUt0m/DC5M7eYjOOgiWP79axNnuv0qRk+vmwQMkJVDf7+hNyRb/LKGAxwMYf5IWnhl/V7+8s5FoeVfeKjXTUmSpvhK6aB8D3NnW0cF9y+d4sMd3rbQHQeO8eqGfWXLECdDdLNH4ftpOnF8sFT6yOseXM77v/eS6zG3d1exF5oxhmunLuNLDy6vUKLKieqVe/OMNWzZd5QjVZ6gVdhOc8H4qvpIT9Kt6H1mXn+/4b9X7a6uMJSOlZ7v7d/45Kry7++R3ltfHoyCWMws8Re/WshXH63z9zzfkkWDMeHJlBYbfaHSeKPhQKDri6Uzf9tqhi8+1tXL1x5bQUuAgdsg9PUbZq7e7fsrLyplWypMsRs6M9aD/AQlL7oj+lQzJcwzYVQyr8HY5H2SBqew0puB/+xvn/kYxDQTpxUnTN0TJBmlOiVh8dzKXcxZv5d9FfjbG2PYvv8Y5406edixh5ds52ezN9LT289f/8noIcdKhdmodnnH3Xt3I9U9+oWb/cVMiTrjk2D+3ddeeS8qiRU2zAHUJKavEpI07tDfb7j9lc0V3+fx5Tu5/PZFrvNN9rbnXiBtBeMMq5sOMeHhN4edH5lzQcDHqHulB74/2SIyQgw+ZXjRhbIQiMfxKKZSR80dr2xxLT+vMvXMCYGf2jC0UeZa1J4+xXR/tZXe8u1tHLRjRpXk78qduYBw2/cfG3ZsYEGagge0FVnFqdQ8l2qSe0kVz2+NR+9BzMu8DqNYxYNwPtG9TDcJ6tANYfbaPYyZNItDZSyjNuPt5iG/fesnH3nx+PKduVMjyLgVOw667q+yd2VRpVbtptMXoHH6OfPm6WvYezjXg5+xopkxk2bRUcxV2btHVFUKX+aPLG2M/esx1Yreb2WKO5NzMlQuREPr8F5NVQkp36a+1gDANh/yl+ptmQD94SBtOYhSKpe/vv91evr6E1EXwdEpCXjdtVPfYMykWSXPOXC0ix1tg2Xt9SKd9npj0WPOEl/VlOvd37ugHhg03fjFr7dNpW016OVR9M9SPRjr33QTDaWek5QGHid1SJg3AAARcUlEQVRhdpy98jNJ9uo8/Sa44SZIvXFNcjHTTZmtYlmDd2ymj966gOM9g+EYvErize3F7+lMfz59w9wXA5a11+mVtlW3y+Nu/qnu0SfNdBPGpKhKmLV2T6J95MttQEOuq6DM/2Nh/cB2HOMZbs9sqmBeRVDumbd1YHvQzBh+PjiVvB9KieBU6vnThrkvFl5ToVqNWq0kYmasiDwsIi0iss6x7zQRmSsiW+3fU+1+EZEpIlIvImtE5JJqCu839ktUo+2DLmsug7ERVJ8jnb2+feT9EJbMQSqy1/iGX5ncHvnLOZV7gVSCW9oaXAYZy76/S6qde26fuwWA7t5+OgMq40oIS5GNsDcq1+w0II/H8SAxpdwIqm8SoeiB3wCfLdg3CZhnjDkfmGd/A4wDzrf/JgL3hyOmO75t9GXeP0gIYSfV8qNPK6Gl3bhupouIK4KbEvnUHYu46MdzgWjGJypZJObl9fuGnee2VF8gebzWPCgzS2av3cP2/cfcTTdJH4w1xrwGFGq88cA0uz0NuMax/1GTYxlwioicFZaww2Wr1p1zBAkhDKXlSa1iCpEoQwsn0ERfdWPR4eM9fOmBZezzGKSsJAxHWVSw7OMQW/+AjT7/u1h4h0DSDb++zNb6jcff5pO3LSxjMDa57pVnGmP22O29wJl2+2ygyXFes903DBGZKCJ1IlLX2hpsseg8/k03Zd0+MINBzdxkSJ+qj0NkryofVy7uPnS87C88J9WU/+m6Jl7fdoAHrJcT+FMibce6uempVcXdFSskLDVWmJZiM9E9B+o9nlONF0XckVIrHow1udwOnApjzFRjzFhjzNhRo0aV9exSX53XPbisrHuGwcY97Yy7ezFHuwYbTvrUfHhUmnbnS9J39MqQe0mf+NXCwF94blTz5VlqHkcp7pi7mWdX7mL6imbvk6uAb3kLevSD14db1pF3cBJio3djX94kY/+22P27gHMc5422+6pCqR790npH8KeIC+7fZqxl45526pw9wFrW9JZy67O7zbOyyWNBdUMY8ZIaD3SE8lVQjHyv0Tk5y086Kx3c9CIsPVzsNgcLJuJ5zpfycq+stLG6XF6quiY5BMJMYILdngA879j/Zet9cxlw2GHiCZ1+34Ox1deyX/+vFcNWtnL2NNKo55Mm85ceXB6aS20cZqlP3bGI5SV8xislnzdv27ABAB3d3t41A1khwtGuXh5c3BCqqdFropJfRTfodZM3keZ+3/Xq1qLXuD+v+BOb2jr4/vPrA92vkKS1G/AxYUpEngA+AZwhIs3AD4DJwNMicgOwA/iiPX02cCVQD3QA11dB5gGS5Ef/0rq9w/YNCZ+eQht9kllSv7/k8SROmAqbwjo1ZV4whTd4n9xfAX7ywgaeqmvif406mU9e8Hu+79He2cPOAx380dnvGXZs/e5wQiEPet3Y36HcNcddr+ZcTxdubh2YgVsugQdjI6irnoreGPO3RQ5d4XKuAb5ZqVB+6fOZoxtCqmhBcZZfGtV8aC+nCu/jtqCKW1z/KH3Do+K1ra1c92e/T2dPHyNHVFchiAyaQbp6g+XlVx55i7odB9n+iyvLe7Cf0xCeW9nMnsOlvYrKqbf5r4IPjR7+ogqK+2BsvKR6ZqzfAo1rFZ0gi1nXMrsci0e7tfnmg/4Wl77gljmD96lYqmAs2tLKb22QtDD53nPr6Ozp44Jb5nDl3YuHHAuvTuW9V6RkBNZS1BUJ2uaHIE96+i3vAeNKsiWJnmZhkOpYN5XOYKs2I4b06JMta1Up0WM7eKybj0yeH6Ew1SEf//yEkcL/udjVo7hs8vV8a8vRUO+bx+mtU67nThT83UPLuey80wZ+F2tRcasFt+eX6pQmZWZsYonCRr/ncOneZHdvP3Nc7PPAkFd13JWvHPyI3Lj/WEUmk8PHvde5LYcoGs9jbzQyZtIsjnQOpuHm6Wt4cMn2UJ9T7VDDQ+tm9PGagqTDKeuCzS3FzvJ4XvHjYXTIkmhCTLeij0DTf/gXpXubv3p5E1/7rxWux+Iy3ew4EG4441VNh2jvHK6Qu3v7+cRtC/nnJ1aWvkGJxA8PUBVOnKARHpq+8PBjy3YEtu0+vLQRYNiaqIUrHlWKW1KWBVw7thS7bWdGqG6wM7/4rb/FisurGJ99u7jHdxjt9PLbFw3bV8r6kOSZsYkgCaabprbiPf642opzolaldPf2c819S/nqtDpWNx1i894jA8d6rG+5lwdMnkLlMXfDPl7f5u/aoATN+1v+ex3PrGgOpOzz53q9VCpl9trhHsrXTl3G2l2HA9/rYZevjcVbc2UgMvjirfK471AK8nx1c/F0+Skdr3P2Hy2+zGa1VErcqirVNvqo1sI2xhSPq1FqibCCe0RFmM4yvf25TF7bfJjx9y0FoHHyVTy/ahfnnZFbsLlcnfCPLpE2w9KZfgdwndw8fQ3tx3v46sfOK3pOd28/J52Q6x/lPyirrRNvenq16/62Y8HXBf7xixuKHhNkoJ62HOniSGcP737niQPH71+4LfDz/FBYXUt+IZao2y+s3s3pJ5/EU281FT8Jr8VtyqPFI75QyQlTaqMvTVQ9+lkuPapBGYpfF9eEqTCzxW1wrqO7lxufXMXn7l0CwLHuvpJmtDg6M+WaT346ayOb9hZ3x/3Av7/EEtsDzgcHi+vLLfRPfkeP/jvPruV///CVIYfvtL7mYRNWff2nJ1bypQeWs2hL6dhZzvLavv8Y8zcNRsgst0N2xR3DzTVOSt01yTNjE0FUveSW9sGe02NvNDJjRTPtnT3M37SvZCWN9PPXQZgePvk7dfUOfj792qVnd953Z3s3sDJliHqRkB+/sAFjTNH5F3/30FB33dgWZQ/5sTdPXzNgxslT33KkyNnhEcQEVaxuHwtgrnSGZv7kbQv5ym8qX8PBa/Zv3GbmVCv6qGbGbtjTzphJs9i4p51bnl/Pt59ZzY1PrOQrv6kr6ZWT7zl09/Z7TvIIk7Dq1OHj3QOxWZyNo6dIxr+yPud91N7Zw+W3L2RdGTZkN6J2TR0hwmPLdnDllMW87mP8obBHH1UHpBqvl8L49HmvqP5+Q3dvRLbSEhTL2usfecv3Pe6et7XoF+imvVV6scXcpU+5oo+mQb1s3SfHOSas5FcGKjWwky/B7zy7tmqyufH6tnA8Mj51x2scdDGBFKuXeYW3vKGNhtZj3Dl36Kd+/EPng5RqWyIMxDspFrvdmS9xmW72Hw3Xu8eNhZtzX2mPLdtR9Wf5oVgdejNgsLjzvjvb13m/eGkjx7v7qGtsq+gFHnePPtWDsZHFunGNL5/7u6+9uKL/6/tfZ863PjbEBhgFt87ZFNq93FYg+o8ig3J5E0a+UoflotfTF35Bd5XonTrlLuZR843H33Y93+13tfiXZ9wHacPknvn1tB/vYURcdsgCVlQwA7cQN5fhQv5zUQMzVuxi/9Eu7v3SxVz9ofeW9azSHXp1ryxJFH704G1/K8Xc9fsS1ZMNSpCeyGPLdtDZ0zdkAPd4d99A/JRkqIocM1fvLnrMKeeq5kN8ymWgzdnTT1K6qsG0N3bQ0Oru297b1+85qTCpfNpjADVP/qt90ebyFkgCDz96Nd2UJs7PIb/Lsd0+d0tkL6Rq8G8zgpmdvvH42wMBseZu2Mcffn9OybkGScQ5qPzb5Tupdwk94Kx7hR2BLEYqLbb61M9nb/KcVJhUSn2Nu9HR08eRzh5eWrvHNdBeKeKuEqk23fiNXhk36ZAyHOZvamH+pmJT071JS3hh5+D6Z+56LUZJouGtRneTycNLh07ASkmTLIsTR8gQl9MZX/8wf/L7p/nqyJWMdROKdKVJdY8+LZWqEtNPrZGF3nDQnmKWmPDIm3GLUDUKxynyCw1d8x9LPa+N+6M+1Yo+7pFsJRiNPmKYbN1XnQiNUVLK/p91Cv3ws8TIYYPuub9rSoRsyFNKV7k5PIRNqk03cb8llWB82zGVf8ykWa7nPFVXevq6osTFCSOHKvrvP79+mAtxMUrpqs6Ai7yUg/bolcjo1TezkmLcXG0P+hyUdZuPkkfdKz1IszeLoijpopKlHO9dUF/8oLpXlkZ79IqiRMWjb1RndnC1w1xDyhV9VGGKFUVRqoXbPI2wSbmiV02vKEq6aa/ScppOUq3odXBPUZS0oyEQPFAbvaIoaafQP78apFrR91YhqqGiKEqURBEZtCqKXkQ+KyKbRaReRCZV4xmgPXpFUdJPKk03IjISuA8YB1wI/K2IXBj2c0Bt9IqipJ+0uldeCtQbYxqMMd3Ak8D4KjyHd504shq3VRRFiYzT/sdJVX9GNRT92YAzYEmz3TcEEZkoInUiUtfaWl5A/zv/5qLyJFQURUkIXxg7uurPiC2omTFmKjAVYOzYsWXZYM783XfSOPmqUOVSFEXJGtXo0e8CznH8Hm33KYqiKDFQDUX/FnC+iJwrIicB1wIzq/AcRVEUxQehm26MMb0i8n+Bl4GRwMPGmPVhP0dRFEXxR1Vs9MaY2cDsatxbURRFCUaqZ8YqiqIo3qiiVxRFyTiq6BVFUTKOKnpFUZSMIyYBgcFEpBUod52uM4D9IYqTFTRfhqN54o7my3DSkie/b4wZ5XVSIhR9JYhInTFmbNxyJA3Nl+Fonrij+TKcrOWJmm4URVEyjip6RVGUjJMFRT81bgESiubLcDRP3NF8GU6m8iT1NnpFURSlNFno0SuKoiglUEWvKIqScVKt6KNahDwuRORhEWkRkXWOfaeJyFwR2Wr/nmr3i4hMsXmxRkQucVwzwZ6/VUQmOPb/iYistddMEYlimeLKEJFzRGSBiGwQkfUicqPdX+v58k4ReVNEVtt8+ZHdf66ILLdpecqGDkdE3mF/19vjYxz3+o7dv1lEPuPYn8r2JiIjRWSliLxof9denhhjUvmPXAjkbcB5wEnAauDCuOUKOY0fBy4B1jn2/RKYZLcnAbfa7SuBlwABLgOW2/2nAQ3276l2+1R77E17rthrx8WdZh95chZwid1+N7CF3CL0tZ4vApxst08Elts0PA1ca/f/Gvi63f4G8Gu7fS3wlN2+0LaldwDn2jY2Ms3tDbgJ+C3wov1dc3mS5h59ZIuQx4Ux5jWgrWD3eGCa3Z4GXOPY/6jJsQw4RUTOAj4DzDXGtBljDgJzgc/aY79rjFlmcrX5Uce9EosxZo8x5m27fQTYSG5N4lrPF2OMOWp/nmj/GeByYLrdX5gv+fyaDlxhv1zGA08aY7qMMduBenJtLZXtTURGA1cBD9rfQg3mSZoVva9FyDPImcaYPXZ7L3Cm3S6WH6X2N7vsTw320/picr3Xms8Xa6JYBbSQe3FtAw4ZY3rtKc60DKTfHj8MnE7w/Eo6dwE3A/329+nUYJ6kWdHXPLbHWZP+sSJyMjAD+JYxpt15rFbzxRjTZ4y5iNw6zZcCF8QsUqyIyNVAizFmRdyyxE2aFX2tLkK+z5oXsH9b7P5i+VFq/2iX/YlHRE4kp+QfN8Y8a3fXfL7kMcYcAhYAHyZnqsqvJOdMy0D67fH3AAcInl9J5iPAX4lIIzmzyuXA3dRinsQ9SFDuP3LLIDaQGxzJD4R8MG65qpDOMQwdjP0VQwcdf2m3r2LooOObdv9pwHZyA46n2u3T7LHCQccr406vj/wQcnbzuwr213q+jAJOsdvvAhYDVwPPMHTg8Rt2+5sMHXh82m5/kKEDjw3kBh1T3d6ATzA4GFtzeRK7ABUW3pXkvC62Ad+LW54qpO8JYA/QQ87+dwM5m+E8YCvwqkM5CXCfzYu1wFjHfb5CbgCpHrjesX8ssM5ecy92pnSS/wEfJWeWWQOssv+u1HzhQ8BKmy/rgO/b/eeRe3HVWwX3Drv/nfZ3vT1+nuNe37Np34zD4yjN7a1A0ddcnmgIBEVRlIyTZhu9oiiK4gNV9IqiKBlHFb2iKErGUUWvKIqScVTRK4qiZBxV9IqiKBlHFb2iKErG+f/hTbAHRsUAjgAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "values = dataset.values\n", "# specify columns to plot\n", "columns_to_plot = [0, 1, 2, 3, 5, 6, 7]\n", "for column_index in columns_to_plot:\n", "\tpyplot.figure()\n", "\tpyplot.subplot(1, 1, 1)\n", "\tpyplot.plot(values[:, column_index])\n", "\tpyplot.title(dataset.columns[column_index])\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can visually observe some seasonal values in dew, temp, pressure and snow attributes in the above plots. However, we don't observe any particular statistical features in the pollution readings. We need to further analyze the features of our pollution readings. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are using a library `statsmodels` to see if there is any seasonality in the pollution readings. Seasonality or periodicity in data is often useful in picking the suitable ML algorithm.\n", "\n", "Let's first observe the first month of pollution data. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "###Exploring short term seasonality in data\n", "import statsmodels.api as sm\n", "trend_dataset = dataset.reset_index()\n", "trend_dataset = trend_dataset[['date', 'pollution']]\n", "trend_dataset['date'] = to_datetime(trend_dataset['date'])\n", "trend_dataset = trend_dataset.set_index('date')\n", "\n", "pyplot.rcParams[\"figure.figsize\"] = (20,10)\n", "number_of_monthly_datapoints = 24*30\n", "decomposition = sm.tsa.seasonal_decompose(trend_dataset[:number_of_monthly_datapoints], model='additive')\n", "fig = decomposition.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we observe the seasonal plot above, we can find that our pollution dataset has a daily seasonality in it. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's try to look for long term seasonality by forcing the model to ignore short term seasonality we found above. By setting the `freq` to a larger number. We are setting it here to look for monthly seasonality in the first year of pollution data. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "###Exploring long seasonality in data\n", "number_of_yearly_datapoints = 24*365\n", "decomposition = sm.tsa.seasonal_decompose(trend_dataset[:number_of_yearly_datapoints], model='additive', freq=number_of_monthly_datapoints)\n", "fig = decomposition.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we observe the seasonal plot above, we can find that our pollution dataset also has a monthly seasonality in it (observe the 12 similar segments in the 1 year of data)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can observe that pollution data has both long (monthly) and short (daily) term periodicity. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Step 2 | Processing data

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Sensor measurement normalization\n", "\n", "The next step of the CRISP-DM lifecycle is Data Preparation. These next steps are about manipulating the desired data into a format best fit for machine learning.\n", "\n", "Multivariate problems require normalization of sensor measurements and operational settings to remove the effects of different scales being used across the units of measure. For example, wind speed versus cumulated hours of snow/rain operate in different orders of magnitude. The 'MinMaxScaler' transforms each value into a given range, in our case between 0 and 1.\n", "\n", "Below is the transformation we are performing on each sensor measurement. [Learn more](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html) about preprocessing with **sklearn**.\n", "\n", "\\begin{align}\n", "X_{std} & = (X - X_{min})/(X_{max} - X_{min}) \\\\\n", "X_{scaled} & = X_{std} * (feature\\_range_{max} - feature\\_range_{min}) + feature\\_range_{min}\n", "\\end{align}" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "#Transform all columns as float\n", "values = values.astype('float32')\n", "\n", "#Normalize features\n", "scaler = MinMaxScaler(feature_range=(0, 1))\n", "normalized_values = scaler.fit_transform(values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Target parameter determination\n", "\n", "In order to model a LSTM, we need a target parameter that puts all the data on the same basis for supervised training and the subsequent classification test. For time-series forecasting of pollution levels, we will assume attribute data from the previous timestamp being associated with pollution levels of the current timestamp. \n", "\n", "To mark these observations into supervised learning, we first need to transform the data set where the all previous timestamp's attributes (including the pollution level) are the variables and current pollution level is the target value.\n", "\n", "BEST PRACTICES NOTE In this example, only the last timestamp's attributes are used for training and prediction. A deeper lookback into the history may increase model accuracy while increasing the complexity and training time. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "#Convert series to supervised learning\n", "def transform_to_supervised_series(data, columns, n_in=1, n_out=1, dropnan=True):\n", "\tn_vars = 1 if type(data) is list else data.shape[1]\n", "\tdf = DataFrame(data)\n", "\tcols, names = list(), list()\n", "\t# input sequence (t-n, ... t-1)\n", "\tfor i in range(n_in, 0, -1):\n", "\t\tcols.append(df.shift(i))\n", "\t\tnames += [('%s(t-%d)' % (columns[j], i)) for j in range(n_vars)]\n", "\t# forecast sequence (t, t+1, ... t+n)\n", "\tfor i in range(0, n_out):\n", "\t\tcols.append(df.shift(-i))\n", "\t\tif i == 0:\n", "\t\t\tnames += [('%s(t)' % (columns[j])) for j in range(n_vars)]\n", "\t\telse:\n", "\t\t\tnames += [('%s(t+%d)' % (columns[j], i)) for j in range(n_vars)]\n", "\t# put it all together\n", "\tagg = concat(cols, axis=1)\n", "\tagg.columns = names\n", "\t# drop rows with NaN values\n", "\tif dropnan:\n", "\t\tagg.dropna(inplace=True)\n", "\treturn agg\n", "\n", "#Frame as supervised learning\n", "supervised_series_dataset = transform_to_supervised_series(normalized_values, dataset.columns, 1, 1)\n", "#Drop the unnecessary columns\n", "supervised_series_dataset.drop(['dew(t)', 'temp(t)', 'press(t)', 'wnd_dir(t)', 'wnd_spd(t)', 'snow(t)', 'rain(t)'], axis=1, inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data has been prepared for supervised learning as described in the previous cell. Let's take a look at the first five rows." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
pollution(t-1)dew(t-1)temp(t-1)press(t-1)wnd_dir(t-1)wnd_spd(t-1)snow(t-1)rain(t-1)pollution(t)
10.1297790.3529410.2459020.5272730.6666670.0022900.0000000.00.148893
20.1488930.3676470.2459020.5272730.6666670.0038110.0000000.00.159960
30.1599600.4264710.2295080.5454540.6666670.0053320.0000000.00.182093
40.1820930.4852940.2295080.5636370.6666670.0083910.0370370.00.138833
50.1388330.4852940.2295080.5636370.6666670.0099120.0740740.00.109658
\n", "
" ], "text/plain": [ " pollution(t-1) dew(t-1) temp(t-1) press(t-1) wnd_dir(t-1) \\\n", "1 0.129779 0.352941 0.245902 0.527273 0.666667 \n", "2 0.148893 0.367647 0.245902 0.527273 0.666667 \n", "3 0.159960 0.426471 0.229508 0.545454 0.666667 \n", "4 0.182093 0.485294 0.229508 0.563637 0.666667 \n", "5 0.138833 0.485294 0.229508 0.563637 0.666667 \n", "\n", " wnd_spd(t-1) snow(t-1) rain(t-1) pollution(t) \n", "1 0.002290 0.000000 0.0 0.148893 \n", "2 0.003811 0.000000 0.0 0.159960 \n", "3 0.005332 0.000000 0.0 0.182093 \n", "4 0.008391 0.037037 0.0 0.138833 \n", "5 0.009912 0.074074 0.0 0.109658 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "supervised_series_dataset.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Split the data into training, validation and test data sets\n", "\n", "We will now split the data into training, validation and test data sets. The first 2 years of data is used for training data, followed by the next 2 years of data as validation to check the training accuracy. The last 1 year of data has been used for device simulation testing." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "######Splitting data into training and test data\n", "values = supervised_series_dataset.values\n", "n_train_hours = 24*365*2\n", "n_validation_hours = 24*365*4 \n", "train = values[:n_train_hours, :]\n", "validation = values[n_train_hours:n_validation_hours, :]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Split the training and validation data sets into input and output data sets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "LSTM model takes input in a 3D format where the 1st axis are the samples, 2nd axis is the timesteps that you want to take and the last axis is the features. We would need to transform out input data into this format. " ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "#Split into input and outputs\n", "train_X, train_y = train[:, :-1], train[:, -1]\n", "validation_X, validation_y = validation[:, :-1], validation[:, -1]\n", "#Reshape input to be 3D [samples, timesteps, features]\n", "train_X = train_X.reshape((train_X.shape[0], 1, train_X.shape[1]))\n", "validation_X = validation_X.reshape((validation_X.shape[0], 1, validation_X.shape[1]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Step 3 | Train and test model

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Time-series forecasting via LSTM" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "LSTM or 'Long Short-Term Memory' is a recurrent neural network that is particularly forgiving of unknown time gaps between significant events in time-series data, such as the unknown periodicity in the pollution levels. LSTM is capable of handling large data sets. This makes it very useful for prediction with time-series IoT data. \n", "\n", "Keras LSTM layers expect an input in the following shape: (batch_size, timesteps, input_dim)\n", "
batch_size - number of sequences
\n", "
timesteps - the sequence length to look back, look back cycles in our example
\n", "
input_dim - number of features of each sequence at each time step
\n", "\n", "HUMAN LEARNING NOTE Keras is a neural network (NN) framework that makes running NN fast and easy on TensorFlow. Alternatives to Keras include Theano and CNTK." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# LSTM model setup\n", "Now that we have the data structured for training we can set the parameters in our LSTM model. Here we are using a sequential LSTM model for time-series forecasting. This model configuration choice makes our model capable of learning higher-level temporal representations. We could see in the earlier data visualization that our data has long-term temporal periodicity." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`Epoch` is a hyperparameter in ML model to control the number of complete passes through the training dataset. Larger epoch number usually allows the learning algorithm to run until the error from the model has been sufficiently minimized. \n", "\n", "`Batch Size` is another hyperparameter in ML model that defines the number of samples to work through before updating the internal model parameters.\n", "\n", "`Mean Absolute Error (MAE)` is one of the most commonly used regression loss function. MAE is the sum of absolute differences between our target and predicted variables. So, it measures the average magnitude of errors in a set of predictions, without considering their directions. The range is also 0 to ∞\n", "\n", "\n", "`Adam optimizer` is an adaptive learning rate optimization algorithm that’s been designed specifically for training deep neural networks. The algorithms leverage the power of adaptive learning rates methods to find individual learning rates for each parameter. It also has advantages of Adagrad, which works really well in settings with sparse gradients, but struggles in non-convex optimization of neural networks, and RMSprop, which tackles to resolve some of the problems of Adagrad and works really well in on-line settings. Its name is derived from adaptive moment estimation and uses estimations of first and second moments of gradient to adapt the learning rate for each weight of the neural network. \n", "\n", "HUMAN LEARNING NOTE You can read about different supported optimizers and losses on Keras `optimizers` and `losses`." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "lstm_2 (LSTM) (None, 50) 11800 \n", "_________________________________________________________________\n", "dense_2 (Dense) (None, 1) 51 \n", "=================================================================\n", "Total params: 11,851\n", "Trainable params: 11,851\n", "Non-trainable params: 0\n", "_________________________________________________________________\n", "None\n" ] } ], "source": [ "#LSTM for time-series predictions\n", "model = Sequential()\n", "model.add(LSTM(50, input_shape=(train_X.shape[1], train_X.shape[2])))\n", "model.add(Dense(1))\n", "model.compile(loss='mae', optimizer='adam')\n", "\n", "print(model.summary())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are using an LSTM with 50 neurons in the first hidden layer and 1 neuron in the output layer for predicting pollution. The input shape will be 1 time step with 8 features. We reached to this model after tuning these parameters based on some experimentation, you can try to play around with these to see if you can tune them better. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Model training" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The next step of the CRISP-DM lifecycle is Modeling, where we start the process of training and testing models.\n", "\n", "Since LSTM is a recurrent neural network we can observe the incremental training at each iteration or epoch on the training data set. \n", "\n", "`loss` is the value of cost function on our training data.\n", "`val_loss` is the value of cost function for your cross-validation data.\n", "\n", "These values are useful in determining if our model is overfitting to training data. If we have `loss` noticeably lower than `val_loss` then it is the sign of overfitting.\n", "\n", "PRODUCTION NOTE we have chosen to train over 50 epochs. This allows us to test the model within a reasonable timeframe (~15 mins). " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2019-11-26 19:49:34 Starting - Starting the training job...\n", "2019-11-26 19:49:35 Starting - Launching requested ML instances......\n", "2019-11-26 19:50:57 Starting - Preparing the instances for training......\n", "2019-11-26 19:51:58 Downloading - Downloading input data\n", "2019-11-26 19:51:58 Training - Downloading the training image..\u001b[31m2019-11-26 19:52:12,958 sagemaker-containers INFO Imported framework sagemaker_tensorflow_container.training\u001b[0m\n", "\u001b[31m2019-11-26 19:52:12,963 sagemaker-containers INFO No GPUs detected (normal if no gpus installed)\u001b[0m\n", "\u001b[31m2019-11-26 19:52:13,229 sagemaker-containers INFO No GPUs detected (normal if no gpus installed)\u001b[0m\n", "\u001b[31m2019-11-26 19:52:13,243 sagemaker-containers INFO No GPUs detected (normal if no gpus installed)\u001b[0m\n", "\u001b[31m2019-11-26 19:52:13,253 sagemaker-containers INFO Invoking user script\n", "\u001b[0m\n", "\u001b[31mTraining Env:\n", "\u001b[0m\n", "\u001b[31m{\n", " \"additional_framework_parameters\": {},\n", " \"channel_input_dirs\": {\n", " \"training\": \"/opt/ml/input/data/training\"\n", " },\n", " \"current_host\": \"algo-1\",\n", " \"framework_module\": \"sagemaker_tensorflow_container.training:main\",\n", " \"hosts\": [\n", " \"algo-1\"\n", " ],\n", " \"hyperparameters\": {\n", " \"batch_size\": 72,\n", " \"n_train_hours\": 17520,\n", " \"model_dir\": \"s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/model\",\n", " \"epochs\": 50,\n", " \"n_validation_hours\": 35040\n", " },\n", " \"input_config_dir\": \"/opt/ml/input/config\",\n", " \"input_data_config\": {\n", " \"training\": {\n", " \"TrainingInputMode\": \"File\",\n", " \"S3DistributionType\": \"FullyReplicated\",\n", " \"RecordWrapperType\": \"None\"\n", " }\n", " },\n", " \"input_dir\": \"/opt/ml/input\",\n", " \"is_master\": true,\n", " \"job_name\": \"pollution-forecasting-lstm-2019-11-26-19-49-33-760\",\n", " \"log_level\": 20,\n", " \"master_hostname\": \"algo-1\",\n", " \"model_dir\": \"/opt/ml/model\",\n", " \"module_dir\": \"s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/source/sourcedir.tar.gz\",\n", " \"module_name\": \"trainLSTM\",\n", " \"network_interface_name\": \"eth0\",\n", " \"num_cpus\": 4,\n", " \"num_gpus\": 0,\n", " \"output_data_dir\": \"/opt/ml/output/data\",\n", " \"output_dir\": \"/opt/ml/output\",\n", " \"output_intermediate_dir\": \"/opt/ml/output/intermediate\",\n", " \"resource_config\": {\n", " \"current_host\": \"algo-1\",\n", " \"hosts\": [\n", " \"algo-1\"\n", " ],\n", " \"network_interface_name\": \"eth0\"\n", " },\n", " \"user_entry_point\": \"trainLSTM.py\"\u001b[0m\n", "\u001b[31m}\n", "\u001b[0m\n", "\u001b[31mEnvironment variables:\n", "\u001b[0m\n", "\u001b[31mSM_HOSTS=[\"algo-1\"]\u001b[0m\n", "\u001b[31mSM_NETWORK_INTERFACE_NAME=eth0\u001b[0m\n", "\u001b[31mSM_HPS={\"batch_size\":72,\"epochs\":50,\"model_dir\":\"s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/model\",\"n_train_hours\":17520,\"n_validation_hours\":35040}\u001b[0m\n", "\u001b[31mSM_USER_ENTRY_POINT=trainLSTM.py\u001b[0m\n", "\u001b[31mSM_FRAMEWORK_PARAMS={}\u001b[0m\n", "\u001b[31mSM_RESOURCE_CONFIG={\"current_host\":\"algo-1\",\"hosts\":[\"algo-1\"],\"network_interface_name\":\"eth0\"}\u001b[0m\n", "\u001b[31mSM_INPUT_DATA_CONFIG={\"training\":{\"RecordWrapperType\":\"None\",\"S3DistributionType\":\"FullyReplicated\",\"TrainingInputMode\":\"File\"}}\u001b[0m\n", "\u001b[31mSM_OUTPUT_DATA_DIR=/opt/ml/output/data\u001b[0m\n", "\u001b[31mSM_CHANNELS=[\"training\"]\u001b[0m\n", "\u001b[31mSM_CURRENT_HOST=algo-1\u001b[0m\n", "\u001b[31mSM_MODULE_NAME=trainLSTM\u001b[0m\n", "\u001b[31mSM_LOG_LEVEL=20\u001b[0m\n", "\u001b[31mSM_FRAMEWORK_MODULE=sagemaker_tensorflow_container.training:main\u001b[0m\n", "\u001b[31mSM_INPUT_DIR=/opt/ml/input\u001b[0m\n", "\u001b[31mSM_INPUT_CONFIG_DIR=/opt/ml/input/config\u001b[0m\n", "\u001b[31mSM_OUTPUT_DIR=/opt/ml/output\u001b[0m\n", "\u001b[31mSM_NUM_CPUS=4\u001b[0m\n", "\u001b[31mSM_NUM_GPUS=0\u001b[0m\n", "\u001b[31mSM_MODEL_DIR=/opt/ml/model\u001b[0m\n", "\u001b[31mSM_MODULE_DIR=s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/source/sourcedir.tar.gz\u001b[0m\n", "\u001b[31mSM_TRAINING_ENV={\"additional_framework_parameters\":{},\"channel_input_dirs\":{\"training\":\"/opt/ml/input/data/training\"},\"current_host\":\"algo-1\",\"framework_module\":\"sagemaker_tensorflow_container.training:main\",\"hosts\":[\"algo-1\"],\"hyperparameters\":{\"batch_size\":72,\"epochs\":50,\"model_dir\":\"s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/model\",\"n_train_hours\":17520,\"n_validation_hours\":35040},\"input_config_dir\":\"/opt/ml/input/config\",\"input_data_config\":{\"training\":{\"RecordWrapperType\":\"None\",\"S3DistributionType\":\"FullyReplicated\",\"TrainingInputMode\":\"File\"}},\"input_dir\":\"/opt/ml/input\",\"is_master\":true,\"job_name\":\"pollution-forecasting-lstm-2019-11-26-19-49-33-760\",\"log_level\":20,\"master_hostname\":\"algo-1\",\"model_dir\":\"/opt/ml/model\",\"module_dir\":\"s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/source/sourcedir.tar.gz\",\"module_name\":\"trainLSTM\",\"network_interface_name\":\"eth0\",\"num_cpus\":4,\"num_gpus\":0,\"output_data_dir\":\"/opt/ml/output/data\",\"output_dir\":\"/opt/ml/output\",\"output_intermediate_dir\":\"/opt/ml/output/intermediate\",\"resource_config\":{\"current_host\":\"algo-1\",\"hosts\":[\"algo-1\"],\"network_interface_name\":\"eth0\"},\"user_entry_point\":\"trainLSTM.py\"}\u001b[0m\n", "\u001b[31mSM_USER_ARGS=[\"--batch_size\",\"72\",\"--epochs\",\"50\",\"--model_dir\",\"s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/model\",\"--n_train_hours\",\"17520\",\"--n_validation_hours\",\"35040\"]\u001b[0m\n", "\u001b[31mSM_OUTPUT_INTERMEDIATE_DIR=/opt/ml/output/intermediate\u001b[0m\n", "\u001b[31mSM_CHANNEL_TRAINING=/opt/ml/input/data/training\u001b[0m\n", "\u001b[31mSM_HP_BATCH_SIZE=72\u001b[0m\n", "\u001b[31mSM_HP_N_TRAIN_HOURS=17520\u001b[0m\n", "\u001b[31mSM_HP_MODEL_DIR=s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/model\u001b[0m\n", "\u001b[31mSM_HP_EPOCHS=50\u001b[0m\n", "\u001b[31mSM_HP_N_VALIDATION_HOURS=35040\u001b[0m\n", "\u001b[31mPYTHONPATH=/opt/ml/code:/usr/local/bin:/usr/lib/python36.zip:/usr/lib/python3.6:/usr/lib/python3.6/lib-dynload:/usr/local/lib/python3.6/dist-packages:/usr/lib/python3/dist-packages\n", "\u001b[0m\n", "\u001b[31mInvoking script with the following command:\n", "\u001b[0m\n", "\u001b[31m/usr/bin/python trainLSTM.py --batch_size 72 --epochs 50 --model_dir s3://iot309demo-sagemaker-232skq6dqo4r/pollution-forecasting-lstm-2019-11-26-19-49-33-760/model --n_train_hours 17520 --n_validation_hours 35040\n", "\n", "\u001b[0m\n", "\u001b[31mUsing TensorFlow backend.\u001b[0m\n", "\u001b[31mTrain on 17520 samples, validate on 17520 samples\u001b[0m\n", "\u001b[31mEpoch 1/50\u001b[0m\n", "\u001b[31m - 3s - loss: 0.0480 - val_loss: 0.0474\u001b[0m\n", "\u001b[31mEpoch 2/50\u001b[0m\n", "\n", "2019-11-26 19:52:10 Training - Training image download completed. Training in progress.\u001b[31m - 1s - loss: 0.0188 - val_loss: 0.0272\u001b[0m\n", "\u001b[31mEpoch 3/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0150 - val_loss: 0.0196\u001b[0m\n", "\u001b[31mEpoch 4/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0146 - val_loss: 0.0173\u001b[0m\n", "\u001b[31mEpoch 5/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0144 - val_loss: 0.0166\u001b[0m\n", "\u001b[31mEpoch 6/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0144 - val_loss: 0.0157\u001b[0m\n", "\u001b[31mEpoch 7/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0144 - val_loss: 0.0158\u001b[0m\n", "\u001b[31mEpoch 8/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0162\u001b[0m\n", "\u001b[31mEpoch 9/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0161\u001b[0m\n", "\u001b[31mEpoch 10/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0163\u001b[0m\n", "\u001b[31mEpoch 11/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0158\u001b[0m\n", "\u001b[31mEpoch 12/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0156\u001b[0m\n", "\u001b[31mEpoch 13/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0160\u001b[0m\n", "\u001b[31mEpoch 14/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0160\u001b[0m\n", "\u001b[31mEpoch 15/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0153\u001b[0m\n", "\u001b[31mEpoch 16/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0143 - val_loss: 0.0151\u001b[0m\n", "\u001b[31mEpoch 17/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0157\u001b[0m\n", "\u001b[31mEpoch 18/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0157\u001b[0m\n", "\u001b[31mEpoch 19/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0154\u001b[0m\n", "\u001b[31mEpoch 20/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0154\u001b[0m\n", "\u001b[31mEpoch 21/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0158\u001b[0m\n", "\u001b[31mEpoch 22/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0154\u001b[0m\n", "\u001b[31mEpoch 23/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0146\u001b[0m\n", "\u001b[31mEpoch 24/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0153\u001b[0m\n", "\u001b[31mEpoch 25/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0149\u001b[0m\n", "\u001b[31mEpoch 26/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0148\u001b[0m\n", "\u001b[31mEpoch 27/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0149\u001b[0m\n", "\u001b[31mEpoch 28/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0151\u001b[0m\n", "\u001b[31mEpoch 29/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0147\u001b[0m\n", "\u001b[31mEpoch 30/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0148\u001b[0m\n", "\u001b[31mEpoch 31/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0152\u001b[0m\n", "\u001b[31mEpoch 32/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0150\u001b[0m\n", "\u001b[31mEpoch 33/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0150\u001b[0m\n", "\u001b[31mEpoch 34/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0152\u001b[0m\n", "\u001b[31mEpoch 35/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0141 - val_loss: 0.0151\u001b[0m\n", "\u001b[31mEpoch 36/50\u001b[0m\n", "\u001b[31m - 1s - loss: 0.0142 - val_loss: 0.0147\u001b[0m\n", "\u001b[31mEpoch 37/50\u001b[0m\n" ] } ], "source": [ "### fit network\n", "#history = model.fit(train_X, train_y, epochs=50, batch_size=72, validation_data=(validation_X, validation_y), verbose=2, shuffle=False)\n", "#history = history.history\n", "\n", "###Instead of training here, we are calling it through a training job, since sagemaker will pack the model for us and \n", "###upload it on to s3 to make it easier for us use\n", "\n", "###We are performing a m5.xlarge instance for training , you can do local training if you want to. \n", "###You can change the train_instance_type to a different p type sagemaker instance for faster training.\n", "###Note: Local training doesn't result into a training job that can be used for green grass directly\n", "use_local_training = False \n", "\n", "if use_local_training:\n", " train_instance_type = \"local\"\n", "else: \n", " train_instance_type = \"ml.m5.xlarge\"\n", " \n", "tf_estimator = TensorFlow(entry_point='trainLSTM.py', role=get_execution_role(),\n", " train_instance_count=1, train_instance_type=train_instance_type,\n", " framework_version='1.12', py_version='py3', script_mode=True,\n", " output_path = 's3://' + s3Bucket, base_job_name = \"pollution-forecasting-lstm\",\n", " hyperparameters={'batch_size': 72,\n", " 'epochs': 50,\n", " 'n_train_hours': n_train_hours,\n", " 'n_validation_hours': n_validation_hours})\n", "\n", "tf_estimator.fit(uploaded_data_path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Download the training model and history created using training job\n", "This next code downloads the training model that we have created the through the SageMaker training job. \n", "It copies the trained model in tar.gz-format from S3 to this notebook instance and unpacks it. The model files will be stored in the local file directory **[job\\_name]/model**. [job\\_name] is a placeholder that is different every time you run this notebook. When copying and unpacking are finished the names of your model files will be printed below the cell." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "print(\"job_name: {}\".format(tf_estimator.latest_training_job.name))\n", "\n", "s3_model_path = '{}'.format(tf_estimator.model_data)\n", "print(\"s3_model_path: {}\".format(s3_model_path))\n", "s3_bucket = urlparse(s3_model_path).netloc\n", "print(s3_bucket)\n", "s3_key = urlparse(s3_model_path).path.lstrip('/')\n", "print(\"s3_key: {}\".format(s3_key))\n", "\n", "local_model_dir = 'model'\n", "if not os.path.exists(local_model_dir):\n", " try:\n", " os.makedirs(local_model_dir)\n", " except Exception as e:\n", " print(\"ERROR: failed to created directory {}: {}\".format(local_model_dir, e))\n", "\n", "if not os.path.exists(local_model_dir + '/model.tar.gz'):\n", " s3_client = boto3.client('s3')\n", " s3_client.download_file(s3_bucket, s3_key, local_model_dir + '/model.tar.gz')\n", " \n", "tar = tarfile.open(local_model_dir + '/model.tar.gz')\n", "tar.extractall(path=local_model_dir)\n", "tar.close()\n", "\n", "model_files = os.listdir(local_model_dir)\n", "print(\"model_files: {}\".format(model_files))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Read the model file and history\n", "The model files that we have downloaded above need to be loaded here in the notebook." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator MinMaxScaler from version 0.21.1 when using version 0.21.3. This might lead to breaking code or invalid results. Use at your own risk.\n", " UserWarning)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:From /home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n", "\n", "WARNING:tensorflow:From /home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:184: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n", "\n" ] } ], "source": [ "scaler = load('%s/scaler.model' % local_model_dir)\n", "\n", "with open('%s/model.json' % local_model_dir, 'r') as json_file:\n", " loaded_model_json = json_file.read()\n", "loaded_model = model_from_json(loaded_model_json)\n", "loaded_model.load_weights('%s/model.h5' % local_model_dir)\n", "\n", "with open('%s/history.json' % local_model_dir) as f:\n", " history = json.load(f)\n", "loaded_model.compile(loss='mae', optimizer='adam')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Model accuracy and overfit check\n", "The next step in CRISP-DM is Evaluation. Now that we've trained a model, we must inspect its performance in forecasting pollution of time N against the actual time N. Let's compare the `loss` and `val_loss` of the model to see if we ended overfitting or not.\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot accuracy as we learn\n", "pyplot.plot(history['loss'], label='loss (Train)')\n", "pyplot.plot(history['val_loss'], label='val_loss (Validation)')\n", "pyplot.legend()\n", "pyplot.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you may have noticed, the loss of the train dataset is similar to the val_loss of the validation data. This corresponds that we have not overfitted out model onto training data." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Step 4 | Results summary

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Apply model to test data\n", "\n", "Let's make inferences from the trained model onto our validation dataset" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "yhat = loaded_model.predict(validation_X)\n", "#If trained within the notebook use yhat = model.predict(validation_X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calculate the root mean square error \n", "We can calculate the root mean square error (RMSE) on the validation data set to evaluate the performance of our model. Unlike classification problems, in regressions problems like this one it is hard to calculate the accuracy of a model, so we use RMSE to benchmark the model's performance." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "LSTM Metrics\n", "Val RMSE: 27.931\n" ] } ], "source": [ "validation_X = validation_X.reshape((validation_X.shape[0], validation_X.shape[2]))\n", "# invert scaling for forecast\n", "inv_yhat = concatenate((yhat, validation_X[:, 1:]), axis=1)\n", "inv_yhat = scaler.inverse_transform(inv_yhat)\n", "inv_yhat = inv_yhat[:,0]\n", "# invert scaling for actual\n", "validation_y = validation_y.reshape((len(validation_y), 1))\n", "inv_y = concatenate((validation_y, validation_X[:, 1:]), axis=1)\n", "inv_y = scaler.inverse_transform(inv_y)\n", "inv_y = inv_y[:,0]\n", "\n", "print(\"\\n\\nLSTM Metrics\")\n", "# calculate RMSE\n", "rmse = sqrt(mean_squared_error(inv_y, inv_yhat))\n", "print('Val RMSE: %.3f' % rmse)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, our RMSE is approximately 30 (your exact number may vary by a few percent)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Benchmarking with a Persistence Model\n", "The persistence forecast is where the observation from the prior time step (t-1) is used to predict the observation at the current time step (t)." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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pollution(t-1)predicted_pollution(t)
date
2010-01-02 00:00:00129.0129.0
2010-01-02 01:00:00148.0148.0
2010-01-02 02:00:00159.0159.0
2010-01-02 03:00:00181.0181.0
2010-01-02 04:00:00138.0138.0
\n", "
" ], "text/plain": [ " pollution(t-1) predicted_pollution(t)\n", "date \n", "2010-01-02 00:00:00 129.0 129.0\n", "2010-01-02 01:00:00 148.0 148.0\n", "2010-01-02 02:00:00 159.0 159.0\n", "2010-01-02 03:00:00 181.0 181.0\n", "2010-01-02 04:00:00 138.0 138.0" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Let's create a naive persistence model to benchmark the performance of our model\n", "\n", "##Creating a dateframe with the previous timestep values and using that as prediction for next step\n", "persistence_model_df = DataFrame()\n", "persistence_model_df['pollution(t-1)'] = dataset['pollution']\n", "persistence_model_df['predicted_pollution(t)'] = persistence_model_df['pollution(t-1)']\n", "persistence_model_df.head(5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calculate the root mean square error for persistence model for validation data" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Val RMSE for Persistence Model: 27.436\n" ] } ], "source": [ "#Let's extract the actual values\n", "persistence_model_y = persistence_model_df[['pollution(t-1)']].values[1:].astype('float32')\n", "#Extract the predicted values\n", "persistence_model_y_hat = persistence_model_df[['predicted_pollution(t)']].values[:-1].astype('float32')\n", "\n", "#Filter out for validation dataset only\n", "persistence_model_y = persistence_model_y[n_train_hours:n_validation_hours, :]\n", "persistence_model_y_hat = persistence_model_y_hat[n_train_hours:n_validation_hours, :]\n", "\n", "persistence_model_y = persistence_model_y.reshape((len(persistence_model_y)))\n", "persistence_model_y_hat = persistence_model_y_hat.reshape((len(persistence_model_y_hat)))\n", "persistence_model_rmse = sqrt(mean_squared_error(persistence_model_y, persistence_model_y_hat))\n", "print('Val RMSE for Persistence Model: %.3f' % persistence_model_rmse)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, our vanilla LSTM model is performing similar to a persistence model. We can experiment with hyperparameter tuning to further enhance the model and reduce its error." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Summary

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At this stage you have successfully trained and tested a LSTM model to forecast air pollution! The next stage of the CRISP-DM lifecycle is Deployment. That happens outside the scope of this notebook. Resume the next step of this solution from the associated README file.\n", "\n", "The code in this notebook is not tightly correlated to the air pollution data set. You could continue experimenting beyond the scope of this solution by bringing an alternate data set, changing the window of the Beijing 2.5PM used to train, or experimenting with the LSTM hyperparameters to see the effect they have on model accuracy (RMSE)." ] } ], "metadata": { "kernelspec": { "display_name": "conda_tensorflow_p36", "language": "python", "name": "conda_tensorflow_p36" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }