Linear regression is one of the most well known algorithms in machine learning. It defines a predictive model for the value of a dependent variable based on a training data set of independent variables when the relationship between the variables can be described with a linear model. This technique belongs to the supervised learning algorithms in machine learning.
The core idea behind this plugin is to utilize the index data in Elasticsearch during search as a linear regression model in order to expose information like
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prediction of a value for the target variable,
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anomaly detection,
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measuring the accuracy or rather predictiveness of the model
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and much more.