def setUp(self):
"""
self.data_c: Complete dataset/No missing values
self.data_m: Incommplete dataset/Has missing values
"""
mask = np.zeros((3, 3), dtype=bool)
self.data_c = test_data(mask=mask)
mask[0][0] = True
self.data_m = test_data(mask=mask)
def setUp(self):
"""
self.data_c: Complete dataset/No missing values
self.data_m: Incommplete dataset/Has missing values
"""
mask = np.zeros((5, 5), dtype=bool)
mask[0][0] = True
data_m = test_data(mask=mask)
labels = np.array([1, 0, 1, 1, 0])
self.imputed_mode = []
self.imputed_mode.append(
["mode", (mode_imputation(np.copy(data_m)), labels)])
self.imputed_mode.append(
["mean", (mean_imputation(np.copy(data_m)), labels)])