Adaptive


A Module based on Adaptive Models.

Implementation Notes

Tensor operations are unoptimized. I recommend PyTorch or TorchLib instead for a general Tensor/NN Library.


Documentation

class ProtoNet: def __init__(self, arg0: int, arg1: int, arg2: int, arg3: int, arg4: float) -> None: ... def query_net(self, arg0: _pysiclib.linalg.Tensor) -> _pysiclib.linalg.Tensor: ... def run_epoch(self, arg0: _pysiclib.linalg.Tensor, arg1: _pysiclib.linalg.Tensor) -> None: ... @property def m_bias(self) -> List[_pysiclib.linalg.Tensor]: ... @property def m_transform(self) -> Callable[[float],float]: ... @property def m_transform_deriv(self) -> Callable[[float],float]: ... @property def m_weights(self) -> List[_pysiclib.linalg.Tensor]: ...