autoemulate.emulators.polynomials

class PolynomialRegression(x, y, standardize_x=False, standardize_y=False, degree=2, lr=0.1, epochs=500, batch_size=16, random_seed=None, device=None, **kwargs)

Bases: PyTorchBackend

PolynomialRegression emulator.

Implements a linear model including all main effects, interactions, and quadratic terms.

forward(x)

Forward pass through for polynomial regression.

static is_multioutput()

Polynomial regression supports multi-output.

static get_tune_params()

Return a dictionary of hyperparameters to tune.