"""Contains the history matching base class
The defined base class for performing history matching.
"""
import numpy as np
from .calibration_base import CalibrationWorkflowBase
[docs]
class HistoryMatchingBase(CalibrationWorkflowBase):
"""The history matching base class."""
[docs]
def specify(self) -> None:
"""Specify the parameters of the model calibration procedure."""
ensemble_size = self.specification.n_samples
n_replicates = self.specification.n_replicates
parameter_spec = self.specification.parameter_spec.parameters
self.parameters = {}
for spec in parameter_spec:
parameter_name = spec.name
distribution_name = spec.distribution_name.replace(" ", "_").lower()
distribution_args = spec.distribution_args
if distribution_args is None:
distribution_args = []
distribution_kwargs = spec.distribution_kwargs
if distribution_kwargs is None:
distribution_kwargs = {}
distribution_kwargs["size"] = ensemble_size
dist_instance = getattr(self.rng, distribution_name)
samples = dist_instance(*distribution_args, **distribution_kwargs)
samples = np.repeat(samples, n_replicates)
self.rng.shuffle(samples)
self.parameters[parameter_name] = samples
self.specification.n_samples = ensemble_size * n_replicates