Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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StatisticInterface.ProfilingMethod Class Reference
Inheritance diagram for StatisticInterface.ProfilingMethod:
Collaboration diagram for StatisticInterface.ProfilingMethod:

Public Member Functions

 to_cpp (self)
 

Static Public Attributes

 SLICE = st.ProfilingMethod.SLICE
 
 FREE_PROJECTION = st.ProfilingMethod.FREE_PROJECTION
 
 PRIOR_CONSTRAINED_PROJECTION = st.ProfilingMethod.PRIOR_CONSTRAINED_PROJECTION
 

Detailed Description

Strategy used to reduce a fit with more than two parameters to 2D.

Attributes:
    SLICE: Vary the selected axes while keeping the other fit parameters at
        their best-fit values.
    FREE_PROJECTION: Profile all non-displayed fit parameters freely.
    PRIOR_CONSTRAINED_PROJECTION: Profile non-displayed fit parameters with
        Gaussian constraints derived from the global fit.

Definition at line 25 of file StatisticInterface.py.

Member Function Documentation

◆ to_cpp()

StatisticInterface.ProfilingMethod.to_cpp (   self)
Convert to the bound C++ ``ProfilingMethod`` enum.

Definition at line 40 of file StatisticInterface.py.

Member Data Documentation

◆ FREE_PROJECTION

StatisticInterface.ProfilingMethod.FREE_PROJECTION = st.ProfilingMethod.FREE_PROJECTION
static

Definition at line 37 of file StatisticInterface.py.

◆ PRIOR_CONSTRAINED_PROJECTION

StatisticInterface.ProfilingMethod.PRIOR_CONSTRAINED_PROJECTION = st.ProfilingMethod.PRIOR_CONSTRAINED_PROJECTION
static

Definition at line 38 of file StatisticInterface.py.

◆ SLICE

StatisticInterface.ProfilingMethod.SLICE = st.ProfilingMethod.SLICE
static

Definition at line 36 of file StatisticInterface.py.


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