Sampling

Sampling interface

class excee.LikelihoodSampler(sample_parameters: list[excee.sampling.SampleParameterInterface], log_prob: collections.abc.Callable, vectorize: bool = False, kwargs: dict = <factory>, var_name_map: dict = <factory>, derived_priors: collections.abc.Iterable[collections.abc.Callable] = <factory>)

Parameters:

• sample_parameters (list[SampleParameterInterface])

• log_prob (Callable)

• vectorize (bool)

• kwargs (dict)

• var_name_map (dict)

• derived_priors (Iterable[Callable])

Sample parameters

class excee.SampleParameter(name: str, low: float, high: float, latex: str | None = None)

Parameters:

• name (str)

• low (float)

• high (float)

• latex (str | None)

class excee.LogUniformSampleParameter(name, low, high, latex=None)

Parameters:

• name (str)

• low (float)

• high (float)

• latex (str | None)

class excee.GaussianSampleParameter(name: str, mean: float, std: float, latex: str | None = None, low: float = -inf, high: float = inf)

Parameters:

• name (str)

• mean (float)

• std (float)

• latex (str | None)

• low (float)

• high (float)

class excee.ExpUniformSampleParameter(name, low, high, latex=None)

Parameters:

• name (str)

• low (float)

• high (float)

• latex (str | None)

class excee.PowUniformSampleParameter(name: str, low: float, high: float, latex: str | None = None, *, power: numpy.ndarray)

Parameters:

• name (str)

• low (float)

• high (float)

• latex (str | None)

• power (ndarray)