{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# **Amazon Lookout for Equipment** - Getting started\n", "*Part 3 - Model training*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initialization\n", "---\n", "This repository is structured as follow:\n", "\n", "```sh\n", ". lookout-equipment-demo\n", "|\n", "├── data/\n", "| ├── interim # Temporary intermediate data\n", "| ├── processed # Finalized datasets\n", "| └── raw # Immutable original data\n", "|\n", "├── getting_started/\n", "| ├── 1_data_preparation.ipynb\n", "| ├── 2_dataset_creation.ipynb\n", "| ├── 3_model_training.ipynb <<< THIS NOTEBOOK <<<\n", "| ├── 4_model_evaluation.ipynb\n", "| ├── 5_inference_scheduling.ipynb\n", "| ├── 6_visualization_with_quicksight.ipynb\n", "| └── 7_cleanup.ipynb\n", "|\n", "└── utils/\n", " └── lookout_equipment_utils.py\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Notebook configuration update" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", "\u001b[0m" ] } ], "source": [ "!pip install --quiet --upgrade sagemaker tqdm lookoutequipment" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Imports" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import boto3\n", "import config\n", "import os\n", "import pandas as pd\n", "import sagemaker\n", "import sys\n", "\n", "# SDK / toolbox for managing Lookout for Equipment API calls:\n", "import lookoutequipment as lookout" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "ROLE_ARN = sagemaker.get_execution_role()\n", "REGION_NAME = boto3.session.Session().region_name\n", "BUCKET = config.BUCKET\n", "PREFIX = config.PREFIX_LABEL\n", "DATASET_NAME = config.DATASET_NAME\n", "MODEL_NAME = config.MODEL_NAME" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Based on the label time ranges, we will use the following time ranges:\n", "\n", "* **Train set:** 1st January 2019 - 31st July 2019: Lookout for Equipment needs at least 90 days of training data and this period contains a few labelled ranges with some anomalies.\n", "* **Evaluation set:** 1st August 2019 - 27th October 2019 *(this test set includes both normal and abnormal data to evaluate our model on)*" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Training period | from 2019-01-01 00:00:00 to 2019-07-31 00:00:00\n", "Evaluation period | from 2019-08-01 00:00:00 to 2019-10-27 00:00:00\n" ] } ], "source": [ "# Configuring time ranges:\n", "training_start = pd.to_datetime('2019-01-01 00:00:00')\n", "training_end = pd.to_datetime('2019-07-31 00:00:00')\n", "evaluation_start = pd.to_datetime('2019-08-01 00:00:00')\n", "evaluation_end = pd.to_datetime('2019-10-27 00:00:00')\n", "\n", "print(f' Training period | from {training_start} to {training_end}')\n", "print(f'Evaluation period | from {evaluation_start} to {evaluation_end}')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model training\n", "---" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Prepare the model parameters:\n", "lookout_model = lookout.LookoutEquipmentModel(model_name=MODEL_NAME, dataset_name=DATASET_NAME)\n", "\n", "# Set the training / evaluation split date:\n", "lookout_model.set_time_periods(evaluation_start,\n", " evaluation_end,\n", " training_start,\n", " training_end)\n", "\n", "# Set the label data location:\n", "lookout_model.set_label_data(bucket=BUCKET, \n", " prefix=PREFIX,\n", " access_role_arn=ROLE_ARN)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Other optional configurations include:\n", "* Setting a sensor to define conditions stating when the equipment / process is not running (off time conditions)\n", "* Using only a subset of the sensors available in the dataset (if you don't provide this, Lookout for Equipment will use all the sensors available in your dataset)\n", "* Requesting a resampling of the data (this accelerates the training but makes your data coarser, which may cut off some anomalies and precursor events of interest)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# If you have a signal to mark off time for your asset/process, you \n", "# can use the following line to mention it to Lookout for Equipment:\n", "\n", "# lookout_model.set_off_conditions('centrifugal-pump\\\\Sensor13<4000')\n", "\n", "# If you want to only use a subset of the ingested signals to train\n", "# a model, you can do so with the following method. This function\n", "# expects a Python dictionnary as an argument, where the keys are\n", "# the name of the components and the values are lists of sensors\n", "# to use from this component:\n", "\n", "# lookout_model.set_subset_schema({\n", "# \"centrifugal-pump\": ['Timestamp', 'Sensor0', 'Sensor3']\n", "# })\n", "\n", "# This sets up the rate the service will resample the data before \n", "# training: we will keep the original sampling rate in this example\n", "# (5 minutes), but feel free to use a larger sampling rate to accelerate \n", "# the training time:\n", "\n", "# lookout_model.set_target_sampling_rate(sampling_rate='PT15M')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can double check your model creation request like this:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'ModelName': 'getting-started-pump-model',\n", " 'DatasetName': 'getting-started-pump',\n", " 'TrainingDataStartTime': datetime.datetime(2019, 1, 1, 0, 0),\n", " 'TrainingDataEndTime': datetime.datetime(2019, 7, 31, 0, 0),\n", " 'EvaluationDataStartTime': datetime.datetime(2019, 8, 1, 0, 0),\n", " 'EvaluationDataEndTime': datetime.datetime(2019, 10, 27, 0, 0),\n", " 'RoleArn': 'arn:aws:iam::038552646228:role/AmazonSageMaker-LookoutEquipmentEnv',\n", " 'LabelsInputConfiguration': {'S3InputConfiguration': {'Bucket': 'lookout-equipment-poc',\n", " 'Prefix': 'getting_started/label-data/'}}}" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lookout_model.create_model_request" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following method encapsulates a call to the [**CreateModel**](https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/API_CreateModel.html) API:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'ModelArn': 'arn:aws:lookoutequipment:eu-west-1:038552646228:model/getting-started-pump-model/07a0f7e9-0fb1-42e8-94d8-b4cd92778ebb',\n", " 'Status': 'IN_PROGRESS',\n", " 'ResponseMetadata': {'RequestId': '6709efe1-cf7f-4314-a533-559dd10620ee',\n", " 'HTTPStatusCode': 200,\n", " 'HTTPHeaders': {'x-amzn-requestid': '6709efe1-cf7f-4314-a533-559dd10620ee',\n", " 'content-type': 'application/x-amz-json-1.0',\n", " 'content-length': '155',\n", " 'date': 'Fri, 13 May 2022 09:14:19 GMT'},\n", " 'RetryAttempts': 0}}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Actually create the model and train it:\n", "lookout_model.train()" ] }, { "attachments": { "create-model-training-in-progress.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "A training is now in progress as captured by the console:\n", " \n", "![Training in progress](assets/create-model-training-in-progress.png)\n", "\n", "Use the following cell to capture the model training progress. **This model should take around 30-45 minutes to be trained.** Key drivers for training time usually are:\n", "* **Number of labels** in the label dataset (if provided)\n", "* Number of datapoints: this number depends on the **sampling rate**, the **number of time series** and the **time range**.\n", "\n", "The following method encapsulate a call to the [**DescribeModel**](https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/API_DescribeModel.html) API and collect the model progress by looking at the `Status` field retrieved from this call:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2022-05-13 09:21:05 | Model training: IN_PROGRESS\n", "2022-05-13 09:26:06 | Model training: IN_PROGRESS\n", "2022-05-13 09:31:06 | Model training: IN_PROGRESS\n", "2022-05-13 09:36:06 | Model training: IN_PROGRESS\n", "2022-05-13 09:41:06 | Model training: SUCCESS\n" ] } ], "source": [ "lookout_model.poll_model_training(sleep_time=300)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A model is now trained and we can visualize the results of the back testing on the evaluation window selected at the beginning on this notebook:\n", "\n", "![Training complete](assets/model-performance.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the console, **you can click on each detected event**: Amazon Lookout for Equipment unpacks the ranking and display the top sensors contributing to the detected events.\n", "\n", "When you open this window, the first event is already selected and this is the detailed view you will get from the console:\n", "\n", "![Event details](assets/model-diagnostics.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This dataset contains 30 sensors:\n", "* If each sensor contributed the same way to this event, every sensors would **equally contribute** to this event (said otherwise, every sensor would have a similar feature importance of `100% / 30 = 3.33%`).\n", "* The top sensors (e.g. **Sensor2** with a **7.65% importance**) have a contribution that is significantly higher than this threshold, which seems statistically relevant.\n", "* If the model continues outputing detected anomalies with a similar ranking, this might push a maintenance operator to go and have a look at the associated components." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "---" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this notebook, we use the dataset created in part 2 of this notebook series and trained an Amazon Lookout for Equipment model.\n", "\n", "From here you can either head:\n", "* To the next notebook where we will **extract the evaluation data** for this model and use it to perform further analysis on the model results: this is optional and just gives you some pointers on how to post-process and visualize the data provided by Amazon Lookout for Equipment.\n", "* Or to the **inference scheduling notebook** where we will start the model, feed it some new data and catch the results." ] } ], "metadata": { "instance_type": "ml.t3.medium", "kernelspec": { "display_name": "Python 3 (Data Science)", "language": "python", "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west-1:470317259841:image/datascience-1.0" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" } }, "nbformat": 4, "nbformat_minor": 5 }