physbo.blm.predictor module

class physbo.blm.predictor.predictor(config, model=None)

ベースクラス: physbo.predictor.base_predictor

Predictor using Baysean linear model

blm

Type:physbo.blm.core.model

config

configuration

Type:physbo.misc.set_config

delete_stats()

resets model

fit(training, num_basis=None)

fit model to training dataset

パラメータ:

• training (physbo.variable) -- dataset for training
• num_basis (int) -- the number of basis (default: self.config.predict.num_basis)

get_basis(X)

calculates feature maps Psi(X)

パラメータ:X (numpy.ndarray) -- inputs 戻り値:Psi -- feature maps 戻り値の型:numpy.ndarray

get_post_fcov(training, test)

calculates posterior variance-covariance matrix of model

パラメータ:

• training (physbo.variable) -- training dataset. If already trained, the model does not use this.
• test (physbo.variable) -- inputs

戻り値:

戻り値の型:

numpy.ndarray

get_post_fmean(training, test)

calculates posterior mean value of model

パラメータ:

• training (physbo.variable) -- training dataset. If already trained, the model does not use this.
• test (physbo.variable) -- inputs

戻り値:

戻り値の型:

numpy.ndarray

get_post_params(training, test)

calculates posterior weights

パラメータ:

• training (physbo.variable) -- training dataset. If already trained, the model does not use this.
• test (physbo.variable) -- inputs (not used)

戻り値:

戻り値の型:

numpy.ndarray

get_post_samples(training, test, N=1, alpha=1.0)

draws samples of mean values of model

パラメータ:

• training (physbo.variable) -- training dataset. If already trained, the model does not use this.
• test (physbo.variable) -- inputs
• N (int) -- number of samples (default: 1)
• alpha (float) -- noise for sampling source (default: 1.0)

戻り値:

戻り値の型:

numpy.ndarray

get_predict_samples(training, test, N=1)

draws samples of values of model

パラメータ:

• training (physbo.variable) -- training dataset. If already trained, the model does not use this.
• test (physbo.variable) -- inputs
• N (int) -- number of samples (default: 1)
• alpha (float) -- noise for sampling source (default: 1.0)

戻り値:

戻り値の型:

numpy.ndarray

prepare(training)

initializes model by using training data set

パラメータ:training (physbo.variable) -- dataset for training

update(training, test)

updates the model.

If not yet initialized (prepared), the model will be prepared by training. Otherwise, the model will be updated by test.

パラメータ:

• training (physbo.variable) -- training dataset for initialization (preparation). If already prepared, the model ignore this.
• test (physbo.variable) -- training data for update. If not prepared, the model ignore this.