python-autosklearn-RidgeRegression

from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import UniformFloatHyperparameter, 
    UniformIntegerHyperparameter, CategoricalHyperparameter

import sklearn.metrics
import autosklearn.regression
import autosklearn.pipeline.components.regression
from autosklearn.pipeline.components.base import AutoSklearnRegressionAlgorithm
from autosklearn.pipeline.constants import SPARSE, DENSE, 
    SIGNED_DATA, UNSIGNED_DATA, PREDICTIONS


# Implement kernel ridge regression component for auto-sklearn.
class KernelRidgeRegression(AutoSklearnRegressionAlgorithm):
    def __init__(self, alpha, kernel, gamma, degree, random_state=None):
        self.alpha = alpha
        self.kernel = kernel
        self.gamma = gamma
        self.degree = degree
        self.random_state = random_state
        self.estimator = None

    def fit(self, X, y):
        self.alpha = 

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