The siddhi-execution-streamingml extension is a Siddhi extension that provides streaming machine learning (clustering, classification and regression) on event streams.

For information on Siddhi and it's features refer Siddhi Documentation.

• Versions 2.x and above with group id io.siddhi.extension.* from here.
• Versions 1.x and lower with group id org.wso2.extension.siddhi.* from here.

Latest API Docs is 2.0.5.

• bayesianRegression (Stream Processor)
  

  This extension predicts using a Bayesian linear regression model.Bayesian linear regression allows determining the uncertainty of each prediction by estimating the full-predictive distribution

• kMeansIncremental (Stream Processor)
  

  Performs K-Means clustering on a streaming data set. Data points can be of any dimension and the dimensionality is calculated from number of parameters. All data points to be processed by a query should be of the same dimensionality. The Euclidean distance is taken as the distance metric. The algorithm resembles Sequential K-Means Clustering at https://www.cs.princeton.edu/courses/archive/fall08/cos436/Duda/C/sk_means.htm

• kMeansMiniBatch (Stream Processor)
  

  Performs K-Means clustering on a streaming data set. Data points can be of any dimension and the dimensionality is calculated from number of parameters. All data points to be processed in a single query should be of the same dimensionality. The Euclidean distance is taken as the distance metric. The algorithm resembles mini-batch K-Means. (refer Web-Scale K-Means Clustering by D.Sculley, Google, Inc.).

• perceptronClassifier (Stream Processor)
  

  This extension predicts using a linear binary classification Perceptron model.

• updateBayesianRegression (Stream Processor)
  

  This extension builds/updates a linear Bayesian regression model. This extension uses an improved version of stochastic variational inference.

• updatePerceptronClassifier (Stream Processor)
  

  This extension builds/updates a linear binary classification Perceptron model.

There are no other dependencies needed for this extension.

For installing this extension on various siddhi execution environments refer Siddhi documentation section on adding extensions.

• We encourage users to ask questions and get support via StackOverflow, make sure to add the siddhi tag to the issue for better response.

• If you find any issues related to the extension please report them on the issue tracker.

• For production support and other contribution related information refer Siddhi Community documentation.