dynamic_trainer

Module Contents

DynamicTrainer

logger

logger

class DynamicTrainer(model, dataset, num_top_words=15, epochs=200, learning_rate=0.002, batch_size=200, lr_scheduler=None, lr_step_size=125, log_interval=5, verbose=False)

model

dataset

num_top_words = 15

epochs = 200

learning_rate = 0.002

batch_size = 200

lr_scheduler = None

lr_step_size = 125

log_interval = 5

verbose = False

make_optimizer()

make_lr_scheduler(optimizer)

train()

test(bow, times)

get_beta()

get_top_words(num_top_words=None)

export_theta()