mox.surrogates

Functions

make_surrogate(x, y[, nn, x_std_axis, ...])	make_surrogate.
maxrelu(x, max_x)	minrelu.
minrelu(x, min_x)	minrelu.
pytree_init(key, model, x)
summary(samples[, axis])

Classes

InverseStandardiser(x_mean, x_std, parent, ...)
Limiter(y_min, y_max, parent, name)	Limiter.
MLP(units, n_hidden, n_output, parent, name)	MLP.
Recover(y_shapes, y_def, y_boundaries, ...)	Recover.
Standardiser(x_mean, x_std, parent, ...)
Surrogate(x_mean, x_std, y_shapes, ...)	Surrogate module.
Vectoriser(parent, ...)