MfDataSet

class pinnx.problem.MfDataSet(X_lo_train=None, X_hi_train=None, y_lo_train=None, y_hi_train=None, X_hi_test=None, y_hi_test=None, fname_lo_train=None, fname_hi_train=None, fname_hi_test=None, col_x=None, col_y=None, standardize=False)

Multifidelity function approximation from data set.

Parameters:

• col_x – List of integers.

• col_y – List of integers.

losses_test(inputs, outputs, targets, **kwargs)

Return a list of losses for test dataset, i.e., constraints.

losses_train(inputs, outputs, targets, **kwargs)

Return a list of losses for training dataset, i.e., constraints.

test()

Return a test dataset.

train_next_batch(batch_size=None)

Return a training dataset of the size batch_size.