StatisticInterface.MLFitOptions Class Reference

Public Member Functions
"MLFitOptions"	from_cpp (cls, cpp_obj)
	to_cpp (self)

Static Public Attributes
bool	run_hesse = True
bool	request_minos = False
bool	verbose = False
int	strategy = 0
int	max_fcn = 0
float	tolerance = 0.0
bool	allow_profile_hessian_fallback = True
float	profile_hessian_step_scale = 1.0
float	profile_hessian_eig_floor_rel = 1e-8
bool	trace_first_evals = False
int	trace_max_evals = 25

Detailed Description

Low-level maximum-likelihood fitter options.

This mirrors the C++ ``MLFitOptions`` struct. In most user workflows these
settings are configured through :class:`StatisticConfig`; this class is kept
available for direct conversions and advanced integrations.

Attributes:
    run_hesse: Ask the minimizer to compute a covariance/HESSE estimate.
    request_minos: Request MINOS if the compiled backend supports it.
    verbose: Enable verbose minimizer output.
    strategy: Backend strategy; ``0`` means backend default.
    max_fcn: Maximum number of function calls; ``0`` means backend default.
    tolerance: Minimizer tolerance; ``0.0`` means backend default.
    allow_profile_hessian_fallback: Allow numerical profile-Hessian fallback.
    profile_hessian_step_scale: Step scale for the fallback Hessian.
    profile_hessian_eig_floor_rel: Relative eigenvalue floor for Hessian
        regularization.
    trace_first_evals: Print the first likelihood evaluations.
    trace_max_evals: Maximum number of traced evaluations.

Definition at line 187 of file StatisticInterface.py.

Member Function Documentation

from_cpp()

"MLFitOptions" StatisticInterface.MLFitOptions.from_cpp	(		cls,
			cpp_obj
	)

Create Python fitter options from C++ options.

Definition at line 222 of file StatisticInterface.py.

to_cpp()

StatisticInterface.MLFitOptions.to_cpp

(

self

)

Convert this options object to C++.

Definition at line 238 of file StatisticInterface.py.

Member Data Documentation

allow_profile_hessian_fallback

bool StatisticInterface.MLFitOptions.allow_profile_hessian_fallback = True

static

Definition at line 215 of file StatisticInterface.py.

max_fcn

int StatisticInterface.MLFitOptions.max_fcn = 0

static

Definition at line 213 of file StatisticInterface.py.

profile_hessian_eig_floor_rel

float StatisticInterface.MLFitOptions.profile_hessian_eig_floor_rel = 1e-8

static

Definition at line 217 of file StatisticInterface.py.

profile_hessian_step_scale

float StatisticInterface.MLFitOptions.profile_hessian_step_scale = 1.0

static

Definition at line 216 of file StatisticInterface.py.

request_minos

bool StatisticInterface.MLFitOptions.request_minos = False

static

Definition at line 210 of file StatisticInterface.py.

run_hesse

bool StatisticInterface.MLFitOptions.run_hesse = True

static

Definition at line 209 of file StatisticInterface.py.

strategy

int StatisticInterface.MLFitOptions.strategy = 0

static

Definition at line 212 of file StatisticInterface.py.

tolerance

float StatisticInterface.MLFitOptions.tolerance = 0.0

static

Definition at line 214 of file StatisticInterface.py.

trace_first_evals

bool StatisticInterface.MLFitOptions.trace_first_evals = False

static

Definition at line 218 of file StatisticInterface.py.

trace_max_evals

int StatisticInterface.MLFitOptions.trace_max_evals = 25

static

Definition at line 219 of file StatisticInterface.py.

verbose

bool StatisticInterface.MLFitOptions.verbose = False

static

Definition at line 211 of file StatisticInterface.py.

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The documentation for this class was generated from the following file:

• /home/runner/work/Hyperiso/Hyperiso/Hyperiso/Hyperiso/pyhyperiso/core/Statistic/StatisticInterface.py