def __init__(self,
missing_values="NaN",
strategy="mean",
axis=0,
verbose=0,
copy=True,
input_features=None,
output_features=None):
self.name = "{}_{}".format(self.op, uuid.uuid1())
self.input_features = input_features
self.output_features = output_features
self.input_shapes = {'data_shape': [{'shape': 'scalar'}]}
self.feature_extractor = FeatureExtractor(
input_scalars=[input_features],
output_vector='extracted_' + output_features,
output_vector_items=[output_features])
SklearnImputer.__init__(self, missing_values, strategy, axis, verbose,
copy)
def __init__(self, **kwargs):
Imputer.__init__(self, **kwargs)
