TrainingConfig

C++: phynexis::ml::TrainingConfig
Python: phynexis.ml.TrainingConfig
Header: src/ml/neural_net.hpp

Description

Groups all training hyperparameters into a single struct for passing to NeuralNet.train(data_x, data_y, config).

Constructors

TrainingConfig()

Creates a configuration with default values.

Properties

Property	Type	Default	Access	Description
step_size	float	0.01	read/write	Learning rate
batch_size	int	32	read/write	Batch size
decay_rate_moment	float	0.9	read/write	Momentum decay rate
decay_rate_norm	float	0.9	read/write	Norm decay rate
gradient_init_param	float	1e-8	read/write	Gradient initialization parameter
epochs	int	100	read/write	Number of training epochs
stop_tol	float	1e-8	read/write	Stopping tolerance
enable_logging	bool	True	read/write	Enable training log output