public static class MultivariateGaussian.IncrementalEstimatorCovarianceInverse extends AbstractIncrementalEstimator<Vector,MultivariateGaussian,MultivariateGaussian.SufficientStatisticCovarianceInverse>
Modifier and Type | Field and Description |
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static double |
DEFAULT_COVARIANCE_INVERSE
Default covariance Inverse, 99999.99999999999.
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Constructor and Description |
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IncrementalEstimatorCovarianceInverse()
Default constructor
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IncrementalEstimatorCovarianceInverse(double defaultCovarianceInverse)
Creates a new instance of IncrementalEstimatorCovarianceInverse
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Modifier and Type | Method and Description |
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MultivariateGaussian.SufficientStatisticCovarianceInverse |
createInitialLearnedObject()
Creates a new initial learned object, before any data is given.
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double |
getDefaultCovarianceInverse()
Getter for defaultCovarianceInverse
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void |
setDefaultCovarianceInverse(double defaultCovarianceInverse)
Setter for defaultCovarianceInverse
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clone, update
learn, learn, update
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
learn
learn
update
public static final double DEFAULT_COVARIANCE_INVERSE
public IncrementalEstimatorCovarianceInverse()
public IncrementalEstimatorCovarianceInverse(double defaultCovarianceInverse)
defaultCovarianceInverse
- Default covariance Inverse of the
distributionpublic double getDefaultCovarianceInverse()
public void setDefaultCovarianceInverse(double defaultCovarianceInverse)
defaultCovarianceInverse
- Default covariance Inverse of the
distributionpublic MultivariateGaussian.SufficientStatisticCovarianceInverse createInitialLearnedObject()
IncrementalLearner