input_length=sentence_padding_length,
num_labels=len(index_to_label),
conv1_filter_type=config['l1_conv_filter_type'],
conv2_filter_type=config['l2_conv_filter_type'],
full_connected_layer_units=config['full_connected_layer_units'],
output_dropout_rate=config['output_dropout_rate'],
nb_epoch=config['nb_epoch'],
nb_batch=config['nb_batch'],
earlyStoping_patience=config['earlyStoping_patience'],
lr=config['lr'],
)
onehot_cnn.print_model_descibe()
onehot_cnn.fit((train_X_feature, train_y),
(test_X_feature, test_y))
onehot_cnn.accuracy((train_X_feature, train_y), transform_input=False)
logging.debug('=' * 20)
# ****************************************************************
# ------------- region end : 3、构建onehot编码 -------------
# ****************************************************************
logging.debug('=' * 20)
# ------------------------------------------------------------------------------
# -------------- region end : 预测 ---------------
# ------------------------------------------------------------------------------
end_time = timeit.default_timer()
print 'end! Running time:%ds!' % (end_time - start_time)
logging.debug('=' * 20)
# (hidden2, 0.5, 'relu', 'none'),
],
embedding_dropout_rate=0.,
nb_epoch=30,
nb_batch=5,
earlyStoping_patience=20,
lr=1e-2,
)
onehot_cnn.print_model_descibe()
print(onehot_cnn.fit(
(train_X_feature, train_y),
(test_X_feature, test_y)))
# onehot_cnn.accuracy((train_X_feature, train_y), transform_input=False)
y_pred, is_correct, accu, f1, test_loss = onehot_cnn.accuracy((test_X_feature, test_y))
result_file_path = 'result/onehot_%s_%d.csv' % (feature_type, rand_seed)
data_util.save_result(test_data, predict=y_pred, is_correct=is_correct, path=result_file_path)
logging.debug('=' * 20)
# ****************************************************************
# ------------- region end : 3、构建onehot编码 -------------
# ****************************************************************
logging.debug('=' * 20)
# ------------------------------------------------------------------------------
# -------------- region end : 预测 ---------------
# ------------------------------------------------------------------------------
end_time = timeit.default_timer()
full_connected_layer_units=config['full_connected_layer_units'],
output_dropout_rate=config['output_dropout_rate'],
nb_epoch=config['nb_epoch'],
batch_size=config['nb_batch'],
earlyStoping_patience=config['earlyStoping_patience'],
lr=config['lr'],
)
# np.random.seed(0)
print(np.random.randint(0,100))
# quit()
onehot_cnn.print_model_descibe()
onehot_cnn.fit((train_X_feature, train_y),
(test_X_feature, test_y))
onehot_cnn.accuracy((train_X_feature, train_y), transform_input=False)
y_pred, is_correct, accu, f1 = onehot_cnn.accuracy((test_X_feature, test_y), transform_input=False)
test_data['PREDICT'] = [index_to_label[item] for item in y_pred]
test_data['is_correct'] = is_correct
data_util.save_data(test_data,'ttttt.csv')
logging.debug('=' * 20)
# ****************************************************************
# ------------- region end : 3、构建onehot编码 -------------
# ****************************************************************
logging.debug('=' * 20)
# ------------------------------------------------------------------------------
