physbo.blm.lik.gauss module¶
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class
physbo.blm.lik.gauss.gauss(linear, cov)[ソース]¶ Gaussian
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linear¶
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cov¶ covariance
Type: blm.lik.cov
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stats¶
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get_basis(X)[ソース]¶ calculates value of basis function at input
- X: numpy.ndarray
- input
参考
blm.basis.fourier.get_basis()
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get_cov(N, params=None)[ソース]¶ Returns covariance matrix
パラメータ: - N (int) -- dimension
- params (float) -- half of log of variance (default: self.cov.params)
戻り値: NxN covariance matrix
戻り値の型: numpy.ndarray
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get_mean(X, Psi=None, params=None, bias=None)[ソース]¶ calculates mean value
パラメータ: - X (numpy.ndarray) -- raw input
- Psi (numpy.ndarray) -- value of feature maps
- params (numpy.ndarray) -- weight
- bias (float) -- bias
参考
blm.basis.fourier.get_mean()
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get_prec(N, params=None)[ソース]¶ Returns precision matrix
パラメータ: - N (int) -- dimension
- params (float) -- half of log of variance (default: self.cov.params)
戻り値: NxN precision matrix
戻り値の型: numpy.ndarray
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