minimizer_tfp

class zfit.minimizers.minimizer_tfp.BFGS(strategy: zfit.minimizers.baseminimizer.ZfitStrategy = None, tolerance: float = 1e-05, verbosity: int = 5, name: str = 'BFGS_TFP', options: Mapping[KT, VT_co] = None)[source]

Bases: zfit.minimizers.baseminimizer.BaseMinimizer

Parameters:
  • strategy (ZfitStrategy) – Strategy that handles NaN and more (to come, experimental)
  • tolerance (float) – Difference between the function value that suffices to stop minimization
  • verbosity – The higher, the more is printed. Between 1 and 10 typically
  • name – Name of the Minimizer
  • options – A dict containing the options given to the minimization function, overriding the default
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