multiml.task.pytorch.modules.asng_model module

class multiml.task.pytorch.modules.asng_model.ASNGModel(lam, delta_init_factor, alpha=1.5, range_restriction=True, *args, **kwargs)

Bases: ConnectionModel, Module

__init__(lam, delta_init_factor, alpha=1.5, range_restriction=True, *args, **kwargs)

Parameters:

• *args – Variable length argument list

• **kwargs – Arbitrary keyword arguments

set_most_likely()

set_fix(fix)

get_most_likely()

update_theta(losses)

get_thetas()

set_thetas(theta_cat, theta_int)

best_models()

forward_fix(inputs)

forward_sampling(inputs)

training: bool