Source code for autofit.non_linear.samples.stored
from typing import Dict, List, Optional
from autofit.mapper.prior_model.abstract import AbstractPriorModel
from autofit.non_linear.samples.sample import Sample
from .pdf import SamplesPDF
[docs]class SamplesStored(SamplesPDF):
def __init__(
self,
model: AbstractPriorModel,
sample_list: List[Sample],
samples_info : Optional[Dict] = None,
):
"""
The `Samples` of a non-linear search, specifically the samples of a `NonLinearSearch` which maps out the
posterior of parameter space and thus does provide information on parameter errors.
Parameters
----------
model : af.ModelMapper
Maps input vectors of unit parameter values to physical values and model instances via priors.
"""
super().__init__(
model=model,
sample_list=sample_list,
samples_info=samples_info,
)