- EmpiricalEntropy - Class in be.ac.ulb.mlg.utils.measure.entropy
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The classic empirical entropy estimate of Uniform probability distribution.
- EmpiricalEntropy() - Constructor for class be.ac.ulb.mlg.utils.measure.entropy.EmpiricalEntropy
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Constructor with no pseudo count
- EmpiricalEntropy(double) - Constructor for class be.ac.ulb.mlg.utils.measure.entropy.EmpiricalEntropy
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Constructor that use a pseudo count value added to occurrences
- Entropy - Class in be.ac.ulb.mlg.utils.measure
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Abstract class of entropy that need to use an estimator.
- Entropy() - Constructor for class be.ac.ulb.mlg.utils.measure.Entropy
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- entropy(double[], int, int) - Method in class be.ac.ulb.mlg.utils.measure.entropy.DirichletEntropy
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- entropy(double[], int, int) - Method in class be.ac.ulb.mlg.utils.measure.entropy.EmpiricalEntropy
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- entropy(double[], int, int) - Method in class be.ac.ulb.mlg.utils.measure.Entropy
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Compute the entropy of a vector of values (non missing values (NaN))
- entropy(double[]) - Method in class be.ac.ulb.mlg.utils.measure.Entropy
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Compute the entropy of a vector of values (non missing values (NaN))
- entropy(double[], int, int) - Method in class be.ac.ulb.mlg.utils.measure.entropy.ShannonEntropy
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- EPSILON - Static variable in class be.ac.ulb.mlg.utils.MeasureUtils
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The precision value
- ERROR_VALUE - Static variable in interface be.ac.ulb.mlg.utils.Measure
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Value representing an error during measuring
- estimateModel(double[], int, int) - Method in class be.ac.ulb.mlg.utils.measure.entropy.DirichletEntropy
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Model estimator for a dirichlet probability
- estimateModel(double[], int, int) - Method in class be.ac.ulb.mlg.utils.measure.entropy.SchurmannGrassbergerEntropy
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- Euclidean - Class in be.ac.ulb.mlg.utils.measure
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- Euclidean() - Constructor for class be.ac.ulb.mlg.utils.measure.Euclidean
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- EULER_MASCHERONI - Static variable in class be.ac.ulb.mlg.utils.measure.entropy.DirichletEntropy
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The Euler-Mascheroni constant