physbo.gp.predictor module

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

Bases: physbo.predictor.base_predictor

delete_stats()

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

Parameters

• args –

• kwds –

fit(training, num_basis=None)

Fitting model to training dataset

Parameters

• training (physbo.variable) – dataset for training

• num_basis (int) – the number of basis (default: self.config.predict.num_basis)

get_basis(*args, **kwds)

Parameters

• args –

• kwds –

get_post_fcov(training, test, diag=True)

Calculating posterior variance-covariance matrix of model

Parameters

• 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.

Returns

Return type

numpy.ndarray

get_post_fmean(training, test)

Calculating posterior mean value of model

Parameters

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

• test (physbo.variable) – inputs

Returns

Return type

numpy.ndarray

get_post_params(*args, **kwds)

Parameters

• args –

• kwds –

get_post_samples(training, test, alpha=1)

Drawing samples of mean values of model

Parameters

• 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.

Returns

Return type

numpy.ndarray

get_predict_samples(training, test, N=1)

Drawing samples of values of model

Parameters

• 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)

Returns

Return type

numpy.ndarray

prepare(training)

Initializing model by using training data set

Parameters

training (physbo.variable) – dataset for training

update(training, test)

Default function to update variables. This function must be overwritten in each model.

Parameters

• args –

• kwds –