Streaming ML

This extension provides streaming machine learning (clustering, classification, and regression) on event streams.

📄️ bayesianRegression (Stream Processor)

This function predicts using a Bayesian linear regression

📄️ kMeansIncremental (Stream Processor)

Performs K-Means clustering on a streaming data set. Data points can be

📄️ kMeansMiniBatch (Stream Processor)

Performs K-Means clustering on a streaming data set. Data points can be

📄️ perceptronClassifier (Stream Processor)

This extension predicts using a linear binary classification Perceptron model.

📄️ updateBayesianRegression (Stream Processor)

This function builds or updates a linear Bayesian regression model using an improved version of stochastic variational inference. Bayesian regression models allow you to quantify the uncertainty in the model's predictions, providing a more comprehensive understanding of the data.

📄️ updatePerceptronClassifier (Stream Processor)

This extension builds or updates a linear binary classification Perceptron model, which is an algorithm used for supervised learning in binary classification tasks. The Perceptron model is a simple and efficient method for solving linearly separable problems, and it is particularly useful for cases where fast, online learning is required.