The first thing to realize is that the act of invoking a forecast on data is that it is an extension of an existing job. In other words, you need to have an ML job configured and that job needs to have analyzed historical data before you can forecast on that data. This is because the forecasting process uses the models that are created by the ML job; the same ones that are used for anomaly detection. To forecast, you need to follow the same steps to create an ML job that has been described in other chapters. If anomalies were generated by the execution of that job, you can disregard them if your only purpose is to execute forecasting. Once the ML job has learned on some historical data, the model or models (if the ML job contains more than one time series) associated with that job are current and up to date, as represented by the following...
Machine Learning with the Elastic Stack
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Machine Learning with the Elastic Stack
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Overview of this book
Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.
As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.
By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.
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Current Title:
Machine Learning with the Elastic Stack
Table of Contents (12 chapters)
Preface
Free Chapter
Machine Learning for IT
Installing the Elastic Stack with Machine Learning
Event Change Detection
IT Operational Analytics and Root Cause Analysis
Security Analytics with Elastic Machine Learning
Alerting on ML Analysis
Using Elastic ML Data in Kibana Dashboards
Using Elastic ML with Kibana Canvas
Forecasting
ML Tips and Tricks
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Customer Reviews