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Set up machine learning features »
Machine Learning in the Elastic Stack
Machine Learning:
8.15 (current)
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Setup
Anomaly detection
Overview
Concepts
Jobs
Datafeeds
Buckets
Influencers
Calendars and scheduled events
Custom rules
Model snapshots
Configure anomaly detection
Create anomaly detection jobs
Stop machine learning anomaly detection
API quick reference
Supplied anomaly detection configurations
Apache
APM
Auditbeat
Logs UI
Metricbeat
Nginx
SIEM
Function reference
Count functions
Geographic functions
Information Content Functions
Metric functions
Rare functions
Sum functions
Time functions
Examples
Adding custom URLs to machine learning results
Aggregating data for faster performance
Customizing detectors with custom rules
Categorizing log messages
Performing population analysis
Transforming data with script fields
Handling delayed data
Limitations
Data frame analytics
Overview
How a data frame analytics job works
Concepts
Outlier detection
Regression
Classification
Evaluating data frame analytics
API quick reference
Examples
Finding outliers in the eCommerce sample data
Predicting flight delays with regression analysis
Predicting delayed flights with classification analysis
Limitations
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