Incrementally perform binary classification using stochastic gradient descent (SGD).
The stdlib-js/ml-incr-binary-classification project provides a JavaScript implementation for incrementally performing binary classification using stochastic gradient descent (SGD). It is designed for developers working on machine learning applications in JavaScript environments who need to build and update binary classification models incrementally as new data arrives. The library supports various loss functions, regularization options, and learning rate strategies, making it suitable for both real-time classification tasks and scenarios where data arrives in a streaming fashion.
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