Inheritance diagram for deeplima::segmentation::train::train_params_segmentation_t:

Public Member Functions
	train_params_segmentation_t ()

Public Member Functions inherited from deeplima::train::train_params_t
	train_params_t (std::string device_string="cpu", float learning_rate=0.001, float weight_decay=0.00001, float beta_one=0.9, float beta_two=0.999, size_t max_epochs=100, size_t max_epochs_without_improvement=10, size_t batch_size=4, float input_dropout=0.3)

virtual const std::string &	get_train_set_fn () const

virtual const std::string &	get_dev_set_fn () const

virtual void	guess_data_sets (const std::string &ud_path, const std::string &corpus)

Public Attributes
size_t	m_rnn_hidden_dim

size_t	m_sequence_length

bool	train_ss

bool	train_mwt

Public Attributes inherited from deeplima::train::train_params_t
std::string	m_output_format

std::string	m_output_model_name

std::string	m_input_model_name

std::string	m_train_set_fn

std::string	m_dev_set_fn

std::map< std::string, std::string >	m_tags

std::string	m_device_string

float	m_learning_rate

float	m_weight_decay

float	m_beta_one

float	m_beta_two

float	m_input_dropout_prob

size_t	m_max_epochs

size_t	m_max_epochs_without_improvement

size_t	m_batch_size

std::string	m_optimizers