`experiment`

Module Contents

Classes

Experiment class for training and evaluation

class experiment.Experiment(*, dataset, model, parameters, ith_logger, store_emb_dataframe=False, storage_path='')

Experiment class for training and evaluation

get_data_idxs(data)

static get_er_vocab(data)

static get_re_vocab(data)

get_batch_1_to_N(er_vocab, er_vocab_pairs, idx)

describe()

evaluate_one_to_n(model, data, log_info='Evaluate one to N.'): Evaluate model

evaluate_standard(model, data, log_info='Evaluate one to N.')

eval(model): trained model

val(model): Validation

train(model): Training.

train_and_eval(): Train and evaluate phases.

k_vs_all_training_schema(model)

negative_sampling_training_schema(model)