weight_decay: <list[float]> (Optional)
Description
A list of potentialweight_decay values for AutoML to explore.
Weight decay, also known as L2 regularization, is a technique that penalizes large weights in neural networks. It encourages smaller, more stable weight values, which can help the model generalize better and avoid overfitting.
Each value in weight_decay must be >= 0.0.
Supported Task Types
- All