nnrl/nn/model/stochastic/ensemble.py
def deterministic(self, params: List[TensorDict]) -> List[SampleLogp]:
        """Compute deterministic new observations and their likelihoods for each model.

        Uses the same semantics as :meth:`SME.sample`.
        """
        return [m.deterministic(params[i]) for i, m in enumerate(self)]
Compute deterministic new observations and their likelihoods for each model.

        Uses the same semantics as :meth:`SME.sample`.
        
Compute deterministic new observations and their likelihoods for each model.
Uses the same semantics as :meth:`SME.sample`.
Compute deterministic new observations and their likelihoods for each model . Uses the same semantics as : meth : ` SME . sample ` .
def deterministic(self, params: List[TensorDict]) -> List[SampleLogp]:
        return [m.deterministic(params[i]) for i, m in enumerate(self)]
def deterministic ( self , params : List [ TensorDict ] ) -> List [ SampleLogp ] : return [ m . deterministic ( params [ i ] ) for i , m in enumerate ( self ) ]
Compute deterministic new observations and their likelihoods for each model.
Compute deterministic new observations and their likelihoods for each model .
"""Compute deterministic new observations and their likelihoods for each model.

        Uses the same semantics as :meth:`SME.sample`.
        """
self
params
List[TensorDict]