physbo.blm.core.model module

class physbo.blm.core.model.model(lik, prior, options={})

ベースクラス: object

Baysean Linear Model

prior

prior distribution of weights

Type

physbo.blm.prior.gauss

lik

kernel

Type

physbo.blm.lik.gauss

nbasis

number of features in random feature map

Type

int

stats

auxially parameters for sampling

Type

Tuple

method

sampling method

Type

str

get_post_fcov(X, Psi=None, diag=True)

calculates posterior covariance of model

パラメータ

• X (numpy.ndarray) -- inputs

• Psi (numpy.ndarray) -- feature maps (default: blm.lik.linear.basis.get_basis(X))

• diag (bool) -- if True, returns only variances as a diagonal matrix (default: True)

戻り値

戻り値の型

numpy.ndarray

参考

physbo.blm.inf.exact.get_post_fcov

get_post_fmean(X, Psi=None, w=None)

calculates posterior mean of model (function)

パラメータ

• X (numpy.ndarray) -- inputs

• Psi (numpy.ndarray) -- feature maps

• w (numpy.ndarray) -- weight

参考

physbo.blm.inf.exact.get_post_fmean

get_post_params_mean()

calculates posterior mean of weights

戻り値

戻り値の型

numpy.ndarray

参考

physbo.blm.inf.exact.get_post_params_mean

post_sampling(Xtest, Psi=None, N=1, alpha=1.0)

draws samples of mean value of model

パラメータ

• Xtest (numpy.ndarray) -- inputs

• Psi (numpy.ndarray) -- feature maps (default: blm.lik.get_basis(Xtest))

• N (int) -- number of samples (default: 1)

• alpha (float) -- noise for sampling source

戻り値

戻り値の型

numpy.ndarray

predict_sampling(Xtest, Psi=None, N=1)

draws samples from model

パラメータ

• Xtest (numpy.ndarray) -- inputs

• Psi (numpy.ndarray) -- feature map (default: blm.lik.get_basis(Xtest))

• N (int) -- number of samples (default: 1)

戻り値

戻り値の型

numpy.ndarray

prepare(X, t, Psi=None)

initializes model by using the first training dataset

パラメータ

• X (numpy.ndarray) -- inputs

• t (numpy.ndarray) -- target (label)

• Psi (numpy.ndarray) -- feature maps

参考

physbo.blm.inf.exact.prepare

sampling(w_mu=None, N=1, alpha=1.0)

draws samples of weights

パラメータ

• blm (physbo.blm.core.model) -- model

• w_mu (numpy.ndarray) -- mean of weight

• N (int) -- the number of samples (default: 1)

• alpha (float) -- noise for sampling source (default: 1.0)

戻り値

samples of weights

戻り値の型

numpy.ndarray

参考

physbo.blm.inf.exact.sampling

update_stats(x, t, psi=None)

updates model by using another training data

パラメータ

• x (numpy.ndarray) -- input

• t (float) -- target (label)

• psi (numpy.ndarray) -- feature map

参考

physbo.blm.inf.exact.update_stats