log_transformed_target_regressor.py

import numpy as np
from sklearn.compose import TransformedTargetRegressor

class LogTransformedTargetRegressor(TransformedTargetRegressor):
    def __init__(self, regressor):
        inverse_func = lambda cur_log_val: 10 ** cur_log_val
        
        TransformedTargetRegressor.__init__(
            self, regressor=regressor,
            func=np.log10, inverse_func=inverse_func
        )
        
    @property
    def feature_importances_(self):
        return self.regressor_.feature_importances_

    @property
    def coef_(self):
        return self.regressor_.coef_