physbo.gp.predictor module¶

class physbo.gp.predictor.predictor(config, model=None)[ソース]¶

delete_stats()[ソース]¶

Default function to delete status This function must be overwritten in each model.

パラメータ

fit(training, num_basis=None)[ソース]¶

Fitting 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(*args, **kwds)[ソース]¶

パラメータ

get_post_fcov(training, test, diag=True)[ソース]¶

Calculating 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
diag (bool) -- Diagonlization flag in physbo.exact.get_post_fcov function.

戻り値

戻り値の型

numpy.ndarray

get_post_fmean(training, test)[ソース]¶

Calculating 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(*args, **kwds)[ソース]¶

パラメータ

get_post_samples(training, test, alpha=1)[ソース]¶

Drawing 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 (not used)
alpha (float) -- tuning parameter of the covariance by multiplying alpha**2 for np.random.multivariate_normal.

戻り値

戻り値の型

numpy.ndarray

get_predict_samples(training, test, N=1)[ソース]¶

Drawing 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)

戻り値

戻り値の型

numpy.ndarray

prepare(training)[ソース]¶

Initializing model by using training data set