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main(String[])
- Static method in class be.ac.ulb.mlg.utils.measure.
BrownCorrelation
Measure
- Interface in
be.ac.ulb.mlg.utils
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
BrayCurtis
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
BrownCorrelation
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Entropy
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Euclidean
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Hellinger
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
HilbertSchmidt
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
JensenShannon
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Kendall
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
KullbackLeibler
measure(double[], double[], boolean[])
- Method in interface be.ac.ulb.mlg.utils.
Measure
Compute the measure between two data vectors
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
MutualInformation
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Pearson
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Spearman
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
Steinhaus
measure(double[], double[], boolean[])
- Method in class be.ac.ulb.mlg.utils.measure.
VarianceOfLogRatios
measure(DoubleMatrix2D, Measure[])
- Method in class be.ac.ulb.mlg.utils.
Measurer
Compute the given measures on data without ignored pairs
measure(DoubleMatrix2D, Measure[], boolean[][])
- Method in class be.ac.ulb.mlg.utils.
Measurer
Compute the given measures on data
measure(double[][], Measure[])
- Method in class be.ac.ulb.mlg.utils.
Measurer
Compute the given measures on data without ignored pairs
measure(double[][], Measure[], boolean[][])
- Method in class be.ac.ulb.mlg.utils.
Measurer
Compute the given measures on data
Measurer
- Class in
be.ac.ulb.mlg.utils
Measurer()
- Constructor for class be.ac.ulb.mlg.utils.
Measurer
Construct a Measurer trying native, no missing value and no renormalization without any shuffle
Measurer(int)
- Constructor for class be.ac.ulb.mlg.utils.
Measurer
Construct a Measurer trying native without any shuffle and without renormalization
Measurer(boolean, int, Renormalizer)
- Constructor for class be.ac.ulb.mlg.utils.
Measurer
Construct a Measurer trying native without any shuffle
MeasurerTest
- Class in
be.ac.ulb.mlg.utils
MeasurerTest()
- Constructor for class be.ac.ulb.mlg.utils.
MeasurerTest
MeasureUtils
- Class in
be.ac.ulb.mlg.utils
MeasureUtils()
- Constructor for class be.ac.ulb.mlg.utils.
MeasureUtils
MutualInformation
- Class in
be.ac.ulb.mlg.utils.measure
Mutual information that use the entropy formula: I(X,Y) = H(X) - H(X|Y) = H(Y) - H(Y|X) = H(X) + H(Y) - H(X,Y)
MutualInformation()
- Constructor for class be.ac.ulb.mlg.utils.measure.
MutualInformation
The default constructor that uses the
EmpiricalEntropy
entropy estimator and no
Discretizer
MutualInformation(Discretizer)
- Constructor for class be.ac.ulb.mlg.utils.measure.
MutualInformation
The default constructor that uses the
EmpiricalEntropy
entropy estimator
MutualInformation(Entropy)
- Constructor for class be.ac.ulb.mlg.utils.measure.
MutualInformation
Constructor that uses the parameter entropy estimator and no discretizer
MutualInformation(Entropy, Discretizer)
- Constructor for class be.ac.ulb.mlg.utils.measure.
MutualInformation
Constructor that uses the parameter entropy estimator
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