physbo.blm.core.model module

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

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()