minuit

import tensorwaves.optimizer.minuit

Minuit2 adapter to the iminuit.Minuit package.

class Minuit2(callback: Callback | None = None, use_analytic_gradient: bool = False, minuit_modifier: Callable[[Minuit], None] | None = None, migrad_args: dict[str, Any] | None = None)

Bases: Optimizer

Adapter to Minuit2.

Implements the Optimizer interface using iminuit.Minuit.

Parameters

• callback – Optionally insert behavior through callbacks into the optimize() method.

• use_analytic_gradient – Use the Estimator.gradient() when calling optimize().

• minuit_modifier – Modify the internal iminuit.Minuit optimizer that is constructed during the optimize() call. See Minuit2 for an example.

• migrad_args – Keyword arguments given to iminuit.Minuit.migrad().

optimize(estimator: ~tensorwaves.interface.Estimator, initial_parameters: ~typing.Mapping[str, <sphinx.util.inspect.TypeAliasForwardRef object at 0x7fbe50516d00>]) → FitResult

Execute optimization.