crosslingual_trainer#

Module Contents#

class CrosslingualTrainer(model, epochs=500, learning_rate=0.002, batch_size=200, lr_scheduler=None, lr_step_size=125, log_interval=5)#
make_optimizer()#
make_lr_scheduler(optimizer)#
fit_transform(dataset_handler, num_top_words=15, verbose=False)#
train(dataset_handler, verbose=False)#
get_theta(bow, lang)#
test(bow_en, bow_cn)#
export_beta()#
export_top_words(vocab_en, vocab_cn, num_top_words=15)#
export_theta(dataset_handler)#