testing

                self.train_dir, self.valid_dir, self.test_dir,

                frac_train=0.8, frac_valid=0.1, frac_test=0.1

            )

        train_np_list = train_data.to_numpy()

        y = train_np_list[1]

        datasets = [train_data, valid_data, test_data]

        datasetIndex = 0

        for dataset in datasets:

            np_list = dataset.to_numpy()

            y = np_list[1]

            # verify that each task in the train dataset has some hits

            y_df = pd.DataFrame(data=y)

            totalRows = len(y_df.index)

                NaN_count = column.isnull().sum()

                if NaN_count == totalRows:

                    print("fail -- one column doesn't have results")

                    if datasetIndex == 0:

                        print("train_data failed")

                    elif datasetIndex == 1:

                        print("valid_data failed")

                    elif datasetIndex == 2:

                        print("test_data failed")

                    assert NaN_count != totalRows

            datasetIndex+=1

        print("end of stratified test")

        assert 1 == 1