from sklearn.preprocessing import StandardScaler, Normalizer
from typing import Dict


class FeaturePreprocessor:

    def __init__(self, preprocessor_config: Dict[str, str]) ->None:
        pass

27cffe04febcb7e482876ae06a272546e9998fac
<mask token>

<mask token>


class FeaturePreprocessor:
    <mask token>

<mask token>


class FeaturePreprocessor:

    def __init__(self, preprocessor_config: Dict[str, str]) ->None:
        pass

from sklearn.preprocessing import StandardScaler, Normalizer
from typing import Dict


class FeaturePreprocessor:

    def __init__(self, preprocessor_config: Dict[str, str]) ->None:
        pass
