optimizers_tf¶

class zfit.minimizers.optimizers_tf.Adam(tolerance=None, learning_rate=0.2, beta1=0.9, beta2=0.999, epsilon=1e-08, use_locking=False, name='Adam', **kwargs)[source]¶

Bases: zfit.minimizers.base_tf.WrapOptimizer

copy()¶

minimize(loss: zfit.core.interfaces.ZfitLoss, params: Optional[Iterable[zfit.core.interfaces.ZfitParameter]] = None) → zfit.minimizers.fitresult.FitResult¶

Fully minimize the loss with respect to params.

Parameters:	loss (ZfitLoss) – Loss to be minimized. params (list(zfit.Parameter) – The parameters with respect to which to minimize the loss. If None, the parameters will be taken from the loss.
Returns:	The fit result.
Return type:	FitResult

step(loss, params: Union[Iterable[zfit.core.interfaces.ZfitParameter], None, Iterable[str]] = None)¶

Perform a single step in the minimization (if implemented).

Parameters:	() (params) –

Returns:

Raises:	`NotImplementedError` – if the step method is not implemented in the minimizer.

tolerance¶