Source code for evalml.pipelines.components.transformers.scalers.standard_scaler

from sklearn.preprocessing import StandardScaler as SkScaler

from evalml.pipelines.components.transformers import Transformer


[docs]class StandardScaler(Transformer): """Standardize features: removes mean and scales to unit variance""" name = "Standard Scaler" hyperparameter_ranges = {}
[docs] def __init__(self): parameters = {} scaler = SkScaler() super().__init__(parameters=parameters, component_obj=scaler, random_state=0)