netket.models.RBMMultiVal¶
-
class
netket.models.
RBMMultiVal
(n_classes, dtype=<class 'numpy.float64'>, activation=<function log_cosh>, alpha=1, use_hidden_bias=True, use_visible_bias=True, precision=None, kernel_init=<function normal.<locals>.init>, hidden_bias_init=<function normal.<locals>.init>, visible_bias_init=<function normal.<locals>.init>, parent=<flax.linen.module._Sentinel object>, name=None)[source]¶ Bases:
flax.linen.module.Module
A fully connected Restricted Boltzmann Machine (see netket.models.RBM) suitable for large local hilbert spaces. Local quantum numbers are passed through a one hot encoding that maps them onto an enlarged space of +/- 1 spins. In turn, these quantum numbers are used with a standard
RBM
wave function.- Attributes
-
if True uses a bias in the dense layer (hidden layer bias).