Uses of Interface
edu.cmu.tetrad.sem.Sampler

Packages that use Sampler

Package	Description
edu.cmu.tetrad.sem

Uses of Sampler in edu.cmu.tetrad.sem

Classes in edu.cmu.tetrad.sem that implement Sampler

Modifier and Type	Class	Description
class	DistributionSampler	The Sampler class provides functionality for sampling values from a specified probability distribution.
class	ExpressionSampler	The ExpressionSampler class provides functionality for parsing, storing, and evaluating mathematical expressions.

Constructors in edu.cmu.tetrad.sem with parameters of type Sampler

Modifier	Constructor	Description
	AdditiveNoiseSimulation(Graph graph, int numSamples, Sampler sampler, int[] hiddenDimensions, double inputScale, Function<Double,Double> activationFunction)	Constructs a new AdditiveNoiseSimulation instance with the specified parameters.
	GeneralAdditiveModel(Graph graph, int numSamples, Sampler sampler)	Constructs a new generalized additive model simulator.
	GeneralNoiseSimulation(Graph graph, int numSamples, Sampler sampler, int[] hiddenDimensions, double inputScale, Function<Double,Double> activationFunction)	Constructs a GeneralNoiseSimulation instance based on the provided parameters.
	GeneralNoiseSimulation(Graph graph, int numSamples, Sampler sampler, int[] hiddenDimensions, double inputScale, Function<Double,Double> activationFunction, boolean reportSaturation, double saturationAbsActivationThreshold)	Constructs a GeneralNoiseSimulation instance based on the provided parameters.