Package jdistlib.inference
Class SamplerCheckpoint
java.lang.Object
jdistlib.inference.SamplerCheckpoint
Versioned sampler-specific adaptation state for exact resumability.
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Constructor Summary
ConstructorsConstructorDescriptionSamplerCheckpoint(String sampler, int version, int warmupIteration, double initialStepSize, double stepSize, double[][] inverseMassMatrix, double[] dualAveragingState, int covarianceCount, double[] covarianceMean, double[][] covarianceProducts) SamplerCheckpoint(String sampler, int version, int warmupIteration, double initialStepSize, double stepSize, double[][] inverseMassMatrix, double[] dualAveragingState, int covarianceCount, double[] covarianceMean, double[][] covarianceProducts, double warmupAcceptanceSum) -
Method Summary
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Constructor Details
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SamplerCheckpoint
public SamplerCheckpoint(String sampler, int version, int warmupIteration, double initialStepSize, double stepSize, double[][] inverseMassMatrix, double[] dualAveragingState, int covarianceCount, double[] covarianceMean, double[][] covarianceProducts) -
SamplerCheckpoint
public SamplerCheckpoint(String sampler, int version, int warmupIteration, double initialStepSize, double stepSize, double[][] inverseMassMatrix, double[] dualAveragingState, int covarianceCount, double[] covarianceMean, double[][] covarianceProducts, double warmupAcceptanceSum)
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Method Details
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sampler
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version
public int version() -
warmupIteration
public int warmupIteration() -
initialStepSize
public double initialStepSize() -
stepSize
public double stepSize() -
inverseMassMatrix
public double[][] inverseMassMatrix() -
dualAveragingState
public double[] dualAveragingState() -
covarianceCount
public int covarianceCount() -
covarianceMean
public double[] covarianceMean() -
covarianceProducts
public double[][] covarianceProducts() -
warmupAcceptanceSum
public double warmupAcceptanceSum()
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