StochasticWeightAveraging#
Stochastic Weight Averaging callback.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__delattr__(self, name, /)#
Implement delattr(self, name).
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__dir__(self, /)#
Default dir() implementation.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__eq__(self, value, /)#
Return self==value.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__format__(self, format_spec, /)#
Default object formatter.
Return str(self) if format_spec is empty. Raise TypeError otherwise.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__ge__(self, value, /)#
Return self>=value.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__getattribute__(self, name, /)#
Return getattr(self, name).
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__getstate__(self, /)#
Helper for pickle.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__gt__(self, value, /)#
Return self>value.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__hash__(self, /)#
Return hash(self).
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__init_subclass__()#
This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__le__(self, value, /)#
Return self<=value.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__lt__(self, value, /)#
Return self<value.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__ne__(self, value, /)#
Return self!=value.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__new__(*args, **kwargs)#
Create and return a new object. See help(type) for accurate signature.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__reduce__(self, /)#
Helper for pickle.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__reduce_ex__(self, protocol, /)#
Helper for pickle.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__repr__(self, /)#
Return repr(self).
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__setattr__(self, name, value, /)#
Implement setattr(self, name, value).
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__sizeof__(self, /)#
Size of object in memory, in bytes.
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__str__(self, /)#
Return str(self).
- scdiffeq.callbacks._stochastic_weight_averaging.StochasticWeightAveraging.__subclasshook__()#
Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).