Training options required for learning a parser model. More...

#include <sr_parser.h>

Public Member Functions
	training_options ()=default
	Default constructor.

	training_options (const training_options &)=default
	Copy constructor.

Public Attributes
uint64_t	batch_size = 25
	How many trees should be put together into a single batch for learning?

uint64_t	beam_size = 8
	How many states should be kept on the beam? (valid for beam search only)

uint64_t	max_iterations = 40
	How many iterations to run the training algorithm for?

std::random_device::result_type	seed = std::random_device{}()
	The seed for the random number generator used for shuffling examples during training.

uint64_t	num_threads = std::thread::hardware_concurrency()
	How many threads to use for training.

training_algorithm	algorithm = training_algorithm::EARLY_TERMINATION
	The algorithm to use for training. More...

Detailed Description

Training options required for learning a parser model.

Member Data Documentation

training_algorithm meta::parser::sr_parser::training_options::algorithm = training_algorithm::EARLY_TERMINATION

The algorithm to use for training.

Defaults to training_algorithm::EARLY_TERMINATION, which is a greedy training method that results in small(-er) models.

The documentation for this struct was generated from the following file: