prevision_quantum_nn.preprocessing.feature_engineering

feature engineering module

Module Contents

Classes

FeatureEngineer Class Feature Engineer.
prevision_quantum_nn.preprocessing.feature_engineering.has_prevision = False
prevision_quantum_nn.preprocessing.feature_engineering.has_prevision = True
class prevision_quantum_nn.preprocessing.feature_engineering.FeatureEngineer

Class Feature Engineer.

feature_engineer

prevision feature engineer

Type:prevision.FeatureEngineer
fit_transform(self, features, labels)

Fit transform: calls fit and transform afterwards.

Parameters:
  • features (numpy array) – features
  • labels (numpy array) – labels
Returns:

transformed features

Return type:

numpy array

fit(self, features, labels)

Fit.

Parameters:
  • x (numpy array) – features
  • y (numpy array) – labels
transform(self, features)

Transform: calls transform.

Parameters:features (numpy array) – features
Returns:transformed features
Return type:numpy array