Source code for pysad.transform.preprocessing.identity_scaler
from pysad.core.base_transformer import BaseTransformer
[docs]class IdentityScaler(BaseTransformer):
"""A scaler that does not modify the input, which is added for convenience.
"""
def __init__(self):
super().__init__(-1)
[docs] def fit_partial(self, X):
"""Convenience method that does not modify the input or the scaler.
Args:
X (np.float64 array of shape (num_features,)): Input feature vector.
Returns:
object: The scaler.
"""
return self
[docs] def transform_partial(self, X):
"""Convenience method that does not modify the input.
Args:
X (np.float64 array of shape (num_features,)): Input feature vector.
Returns:
X (np.float64 array of shape (features,)): The exact same input feature vector.
"""
return X