(dnn_hidden_units, cin_layer_size, cin_split_half, cin_activation, sparse_feature_num,
dense_feature_dim)
| 13 | ((8,), (8,), False, 'relu', 2, 0)] |
| 14 | ) |
| 15 | def test_xDeepFM(dnn_hidden_units, cin_layer_size, cin_split_half, cin_activation, sparse_feature_num, |
| 16 | dense_feature_dim): |
| 17 | model_name = 'xDeepFM' |
| 18 | |
| 19 | sample_size = SAMPLE_SIZE |
| 20 | x, y, feature_columns = get_test_data( |
| 21 | sample_size, sparse_feature_num=sparse_feature_num, dense_feature_num=sparse_feature_num) |
| 22 | model = xDeepFM(feature_columns, feature_columns, dnn_hidden_units=dnn_hidden_units, cin_layer_size=cin_layer_size, |
| 23 | cin_split_half=cin_split_half, cin_activation=cin_activation, dnn_dropout=0.5, device=get_device()) |
| 24 | check_model(model, model_name, x, y) |
| 25 | |
| 26 | |
| 27 | if __name__ == '__main__': |
nothing calls this directly
no test coverage detected