Skip to content

VW

endLine: 2 module-attribute

vw.py

This module is intended to implement the Vowpal Wabbit (VW) algorithm, a fast and scalable machine learning system that supports online learning and large-scale data.

Usage

Import the VW class, configure it with the necessary parameters, and fit it to your data. Use the trained model for predictions.

Example: from engines.contentFilterEngine.traditional_ml_algorithms.vw import VW model = VW() model.fit(X_train, y_train) predictions = model.predict(X_test)

Note
  • The current implementation is a placeholder and needs to be completed with actual Vowpal Wabbit logic.
  • Vowpal Wabbit is particularly useful for large datasets and online learning scenarios.