(hidden_size, sparse_feature_num)
| 10 | [((8,), 2), ((8, 8,), 2), ((8,), 1)] |
| 11 | ) |
| 12 | def test_NFM(hidden_size, sparse_feature_num): |
| 13 | model_name = "NFM" |
| 14 | |
| 15 | sample_size = SAMPLE_SIZE |
| 16 | x, y, feature_columns = get_test_data( |
| 17 | sample_size, sparse_feature_num=sparse_feature_num, dense_feature_num=sparse_feature_num) |
| 18 | |
| 19 | model = NFM(feature_columns, feature_columns, |
| 20 | dnn_hidden_units=[32, 32], dnn_dropout=0.5, device=get_device()) |
| 21 | check_model(model, model_name, x, y) |
| 22 | |
| 23 | |
| 24 | if __name__ == "__main__": |
nothing calls this directly
no test coverage detected