Parameter Estimation

Estimator classes for fitting model parameters and related marginal representations from data.

Estimator Base Classes

BaseEstimator([data, state_names])	Base class for estimators in pgmpy; ParameterEstimator, StructureEstimator and StructureScore derive from this class.
ParameterEstimator(model, data, **kwargs)	Base class for parameter estimators in pgmpy.
StructureEstimator([data, independencies])	Base class for structure estimators in pgmpy.
MarginalEstimator(model, data, **kwargs)	Base class for marginal estimators in pgmpy.

Bayesian Network and SEM Estimators

MaximumLikelihoodEstimator(model, data, **kwargs)	Class used to compute parameters for a model using Maximum Likelihood Estimation.
BayesianEstimator(model, data, **kwargs)	Class used to compute parameters for a model using Bayesian Parameter Estimation.
ExpectationMaximization(model, data, **kwargs)	Class used to compute parameters for a model using Expectation Maximization (EM).
SEMEstimator(model)	Base class of SEM estimators.
IVEstimator(model)	Initialize IVEstimator object.

Marginal and Graphical Model Fitting

MirrorDescentEstimator(model, data, **kwargs)

Class for estimation of a undirected graphical model based upon observed marginals from a tabular dataset.