netket.experimental.models.LSTMNet# class netket.experimental.models.LSTMNet[source]# Bases: RNN Long short-term memory network. Attributes layers: int# number of layers. features: Iterable[int] | int# output feature density in each layer. If a single number is given, all layers except the last one will have the same number of features. hilbert: HomogeneousHilbert# the Hilbert space. Only homogeneous unconstrained Hilbert spaces are supported. Methods __call__(inputs)[source]# Computes the log wave-functions for input configurations. Parameters: inputs (Union[ndarray, Array]) – configurations with dimensions (batch, Hilbert.size). Return type: Union[ndarray, Array] Returns: The log psi with dimension (batch,).
