Package | Description |
---|---|
org.linqs.psl.application.learning.weight.bayesian |
Modifier and Type | Method and Description |
---|---|
protected List<GaussianProcessPrior.WeightConfig> |
GaussianProcessPrior.getConfigs() |
Modifier and Type | Method and Description |
---|---|
protected float |
GaussianProcessPrior.getFunctionValue(GaussianProcessPrior.WeightConfig config) |
Modifier and Type | Method and Description |
---|---|
protected int |
GaussianProcessPrior.getNextPoint(List<GaussianProcessPrior.WeightConfig> configs,
int iteration) |
protected GaussianProcessPrior.ValueAndStd |
GaussianProcessPrior.predictFnValAndStd(float[] x,
List<GaussianProcessPrior.WeightConfig> xKnown)
predictFnValAndStd, but no memory sharing.
|
protected GaussianProcessPrior.ValueAndStd |
GaussianProcessPrior.predictFnValAndStd(float[] x,
List<GaussianProcessPrior.WeightConfig> xKnown,
float[] xyStdData,
float[] kernelBuffer1,
float[] kernelBuffer2,
FloatMatrix kernelMatrixShell1,
FloatMatrix kernelMatrixShell2,
FloatMatrix xyStdMatrixShell,
FloatMatrix mulBuffer)
Do the prediction.
|
Constructor and Description |
---|
WeightConfig(GaussianProcessPrior.WeightConfig config) |
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