physbo.blm.lik.gauss module

class physbo.blm.lik.gauss.gauss(linear, cov)

ベースクラス: object

Gaussian

linear

cov

covariance

Type:

blm.lik.cov

stats

get_basis(X)

calculates value of basis function at input

パラメータ:

X (numpy.ndarray) -- input

参考

blm.basis.fourier.get_basis

get_cov(N, params=None)

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

get_mean(X, Psi=None, params=None, bias=None)

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

get_prec(N, params=None)

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

sampling(fmean)

draws samples

パラメータ:

fmean (numpy.ndarray) -- means of samples

戻り値:

samples

戻り値の型:

numpy.ndarray

set_bias(bias)

sets bias

set_params(params)

sets parameters