def __init__(self,
explained_model,
model_builder,
masking_operation,
loss,
downsample_factors=(1, ),
num_models=1):
super(CXPlain, self).__init__()
self.explained_model = explained_model
self.model_builder = model_builder
self.masking_operation = masking_operation
self.loss = loss
self.last_masked_data = None
self.prediction_model = None
Validation.check_is_positive_integer_greaterequals_1(
num_models, var_name="num_models")
self.num_models = num_models
Validation.check_downsample_factors_at_initialisation(
downsample_factors)
self.downsample_factors = downsample_factors
def test_check_downsample_factors_at_initialisation(self):
with self.assertRaises(ValueError):
Validation.check_downsample_factors_at_initialisation((-1,))
with self.assertRaises(ValueError):
Validation.check_downsample_factors_at_initialisation(-1)
with self.assertRaises(ValueError):
Validation.check_downsample_factors_at_initialisation(1.1)
with self.assertRaises(ValueError):
Validation.check_downsample_factors_at_initialisation(-1.1)
with self.assertRaises(ValueError):
Validation.check_downsample_factors_at_initialisation((3.3, 2.2))
Validation.check_downsample_factors_at_initialisation((3, 2, 1))