/// <summary>
/// Creates a new RandomVariableSimulator instance
/// </summary>
/// <param name="model">The model for which a bayesian network will be learned</param>
/// <param name="stepBounds">The maximal number of steps for a trace in a simulation step</param>
/// <param name="pathForGeneratedFiles">Path to use for generated file creation</param>
/// <param name="config">BayesianLearningConfiguration for further optional settings</param>
public RandomVariableSimulator(ModelBase model, int stepBounds, string pathForGeneratedFiles, BayesianLearningConfiguration?config = null)
{
_config = config ?? BayesianLearningConfiguration.Default;
_model = model;
_stepBounds = stepBounds;
_pathForGeneratedFiles = pathForGeneratedFiles;
}
public OnDemandProbabilityDistributionCalculator(ModelBase model, ICollection <RandomVariable> variables, int stepBounds, double tolerance, BayesianLearningConfiguration?config = null)
{
_config = config ?? BayesianLearningConfiguration.Default;
_randomVariables = variables.ToList();
_probs = new Dictionary <int, Probability>();
_stepBounds = stepBounds;
_model = model;
_tolerance = tolerance;
if (!string.IsNullOrWhiteSpace(_config.ProbabilityDeserializationFilePath))
{
DeserializeProbabilities();
}
}
/// <summary>
/// Creates a new IndependencyCalculator
/// </summary>
/// <param name="probCalculator">Provider for probability distributions</param>
/// <param name="tolerance">Tolerance level for double calculations</param>
/// <param name="config">BayesianLearningConfiguration object for optional settings</param>
public IndependencyCalculator(IProbabilityDistributionCalculator probCalculator, double tolerance, BayesianLearningConfiguration?config = null)
{
_config = config ?? BayesianLearningConfiguration.Default;
_probCalculator = probCalculator;
_tolerance = tolerance;
}
/// <summary>
/// Creates a new ScoreBasedStructureLearner instance
/// </summary>
/// <param name="dataFiles">Path to the data files</param>
/// <param name="pathToUse">Path where further files are created</param>
/// <param name="config">BayesianLearningConfiguration for further optional settings</param>
public ScoreBasedStructureLearner(IList <string> dataFiles, string pathToUse, BayesianLearningConfiguration?config = null)
{
_dataFiles = dataFiles;
_path = pathToUse;
_config = config ?? BayesianLearningConfiguration.Default;
}
public BayesianNetworkCreator(ModelBase model, int stepBounds, BayesianLearningConfiguration?config = null)
{
Config = config ?? BayesianLearningConfiguration.Default;
_model = model;
_stepBounds = stepBounds;
}
