gaussian_process.kernels.Matern()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.Matern(length_scale=1.0, length_scale_bounds=(1e-05, 100000.0), nu=1.5)

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gaussian_process.GaussianProcessClassifier()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.GaussianProcessClassifier(kernel=None, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0

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gaussian_process.kernels.PairwiseKernel()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.PairwiseKernel(gamma=1.0, gamma_bounds=(1e-05, 100000.0), metric='linear',

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gaussian_process.kernels.DotProduct()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.DotProduct(sigma_0=1.0, sigma_0_bounds=(1e-05, 100000.0))

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gaussian_process.kernels.ExpSineSquared()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.ExpSineSquared(length_scale=1.0, periodicity=1.0, length_scale_bounds=(1e-05

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gaussian_process.GaussianProcess()
  • References/Python/scikit-learn/API Reference/gaussian_process

Warning DEPRECATED

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gaussian_process.kernels.Kernel
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.Kernel

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gaussian_process.kernels.Sum()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.Sum(k1, k2)

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gaussian_process.GaussianProcessRegressor()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.GaussianProcessRegressor(kernel=None, alpha=1e-10, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0

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gaussian_process.kernels.Exponentiation()
  • References/Python/scikit-learn/API Reference/gaussian_process

class sklearn.gaussian_process.kernels.Exponentiation(kernel, exponent)

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