Serialized Form

Package smile.hash
- Class smile.hash.PerfectHash extends java.lang.Object implements Serializable
  - Serialized Fields
    - keywords
```
java.lang.String[] keywords
```
      The keyword set.
    - table
```
int[] table
```
      Hash table.
    - kvals
```
int[] kvals
```
      The k parameters to calculate the hash.
    - min
```
char min
```
      The lowest character value shown in the keywords.
    - select
```
int[] select
```
      The character positions in keywords used to calculate the hash.
Package smile.math
- Class smile.math.AbstractDifferentiableMultivariateFunction extends java.lang.Object implements Serializable
- Class smile.math.Complex extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - re
```
double re
```
      The real part.
    - im
```
double im
```
      The imaginary part.
Package smile.math.distance
- Class smile.math.distance.ChebyshevDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.distance.CorrelationDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - method
```
java.lang.String method
```
      A character string indicating what type of correlation is employed.
    - cor
```
java.util.function.ToDoubleBiFunction<T,U> cor
```
      Correlation lambda.
- Class smile.math.distance.DynamicTimeWarping extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - distance
```
Distance<T> distance
```
    - width
```
double width
```
- Class smile.math.distance.EditDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
IntArray2D weight
```
      Weight matrix for weighted Levenshtein distance.
    - r
```
double r
```
      Radius of Sakoe-Chiba band
    - damerau
```
boolean damerau
```
      Calculate Damerau or basic Levenshitein distance.
    - FKP
```
IntArray2D FKP
```
      Cost matrix. Because Java automatically initialize arrays, it takes O(mn) to declare this cost matrix every time before calculate edit distance. But the whole point of Berghel & Roach algorithm is to calculate fewer cells than O(mn). Therefore, we create this cost matrix here. Therefore, the methods using this cost matrix is not multi-thread safe.
    - brf
```
smile.math.distance.EditDistance.BRF brf
```
      The lambda to calculate FKP array.
- Class smile.math.distance.EuclideanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.HammingDistance extends java.lang.Object implements Serializable
- Class smile.math.distance.JaccardDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.distance.JensenShannonDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.distance.LeeDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - q
```
int q
```
- Class smile.math.distance.MahalanobisDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sigma
```
DenseMatrix sigma
```
    - sigmaInv
```
DenseMatrix sigmaInv
```
- Class smile.math.distance.ManhattanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.MinkowskiDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - p
```
int p
```
      The order of Minkowski distance.
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.SparseChebyshevDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.distance.SparseEuclideanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.SparseManhattanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.SparseMinkowskiDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - p
```
int p
```
      The order of Minkowski distance.
    - weight
```
double[] weight
```
      The weights used in weighted distance.
Package smile.math.kernel
- Class smile.math.kernel.BinarySparseGaussianKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gamma
```
double gamma
```
      The width of the kernel.
- Class smile.math.kernel.BinarySparseHyperbolicTangentKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - scale
```
double scale
```
    - offset
```
double offset
```
- Class smile.math.kernel.BinarySparseLaplacianKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gamma
```
double gamma
```
      The width of the kernel.
- Class smile.math.kernel.BinarySparseLinearKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.kernel.BinarySparsePolynomialKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - degree
```
int degree
```
    - scale
```
double scale
```
    - offset
```
double offset
```
- Class smile.math.kernel.BinarySparseThinPlateSplineKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sigma
```
double sigma
```
      The width of the kernel.
- Class smile.math.kernel.GaussianKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gamma
```
double gamma
```
      The width of the kernel.
- Class smile.math.kernel.HellingerKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.kernel.HyperbolicTangentKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - scale
```
double scale
```
    - offset
```
double offset
```
- Class smile.math.kernel.LaplacianKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gamma
```
double gamma
```
      The width of the kernel.
- Class smile.math.kernel.LinearKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.kernel.PearsonKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - omega
```
double omega
```
    - sigma
```
double sigma
```
    - constant
```
double constant
```
- Class smile.math.kernel.PolynomialKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - degree
```
int degree
```
    - scale
```
double scale
```
    - offset
```
double offset
```
- Class smile.math.kernel.SparseGaussianKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gamma
```
double gamma
```
      The width of the kernel.
- Class smile.math.kernel.SparseHyperbolicTangentKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - scale
```
double scale
```
    - offset
```
double offset
```
- Class smile.math.kernel.SparseLaplacianKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gamma
```
double gamma
```
      The width of the kernel.
- Class smile.math.kernel.SparseLinearKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class smile.math.kernel.SparsePolynomialKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - degree
```
int degree
```
    - scale
```
double scale
```
    - offset
```
double offset
```
- Class smile.math.kernel.SparseThinPlateSplineKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sigma
```
double sigma
```
      The width of the kernel.
- Class smile.math.kernel.ThinPlateSplineKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sigma
```
double sigma
```
      The width of the kernel.
Package smile.math.matrix
- Class smile.math.matrix.BandMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - A
```
double[][] A
```
      Compact store of band matrix as A[0, n-1][0, m1+m2].
    - n
```
int n
```
      The size of matrix.
    - m1
```
int m1
```
      The number of subdiagonal rows.
    - m2
```
int m2
```
      The number of superdiagonal rows.
    - au
```
double[][] au
```
      The upper triangular matrix of LU decomposition.
    - al
```
double[][] al
```
      The lower triangular matrix of LU decomposition.
    - index
```
int[] index
```
      index[0,n-1] records the row permutation effected by the partial pivoting.
    - d
```
double d
```
      d is +/-1 depending on whether the number of row interchanges was even or odd. respectively.
    - symmetric
```
boolean symmetric
```
      True if the matrix is symmetric.
- Class smile.math.matrix.JMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - A
```
double[] A
```
      The matrix storage.
    - nrows
```
int nrows
```
      The number of rows.
    - ncols
```
int ncols
```
      The number of columns.
    - symmetric
```
boolean symmetric
```
      True if the matrix is symmetric.
- Class smile.math.matrix.SparseMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - nrows
```
int nrows
```
      The number of rows.
    - ncols
```
int ncols
```
      The number of columns.
    - colIndex
```
int[] colIndex
```
      The index of the start of columns.
    - rowIndex
```
int[] rowIndex
```
      The row indices of nonzero values.
    - x
```
double[] x
```
      The array of nonzero values stored column by column.
    - symmetric
```
boolean symmetric
```
      True if the matrix is symmetric.
Package smile.math.rbf
- Class smile.math.rbf.GaussianRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - r0
```
double r0
```
      The scale factor.
- Class smile.math.rbf.InverseMultiquadricRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - r02
```
double r02
```
- Class smile.math.rbf.MultiquadricRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - r02
```
double r02
```
- Class smile.math.rbf.ThinPlateRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - r0
```
double r0
```
Package smile.stat.distribution
- Class smile.stat.distribution.AbstractDistribution extends java.lang.Object implements Serializable
- Class smile.stat.distribution.BernoulliDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - p
```
double p
```
      Probability of success.
    - q
```
double q
```
      Probability of failure.
    - entropy
```
double entropy
```
      Shannon entropy.
- Class smile.stat.distribution.BetaDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - alpha
```
double alpha
```
      The shape parameter.
    - beta
```
double beta
```
      The shape parameter.
    - mean
```
double mean
```
      The mean.
    - variance
```
double variance
```
      The variance.
    - entropy
```
double entropy
```
      The entropy.
    - rng
```
smile.stat.distribution.BetaDistribution.RejectionLogLogistic rng
```
      The random number generator.
- Class smile.stat.distribution.BinomialDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - p
```
double p
```
      The probability of success.
    - n
```
int n
```
      The number of experiments.
    - entropy
```
double entropy
```
      The entropy.
    - rng
```
smile.stat.distribution.BinomialDistribution.RandomNumberGenerator rng
```
      The random number generator.
- Class smile.stat.distribution.ChiSquareDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - nu
```
int nu
```
      The degrees of freedom.
    - fac
```
double fac
```
      The constant part of log-probability function.
    - entropy
```
double entropy
```
      The entropy.
- Class smile.stat.distribution.DiscreteDistribution extends AbstractDistribution implements Serializable
- Class smile.stat.distribution.DiscreteExponentialFamilyMixture extends DiscreteMixture implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - L
```
double L
```
      The log-likelihood when the distribution is fit on a sample data.
    - bic
```
double bic
```
      The BIC score when the distribution is fit on a sample data.
- Class smile.stat.distribution.DiscreteMixture extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - components
```
DiscreteMixture.Component[] components
```
      The components of finite mixture model.
- Class smile.stat.distribution.EmpiricalDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - p
```
double[] p
```
      The probabilities for each x.
    - x
```
IntSet x
```
      The possible values of random variable.
    - cdf
```
double[] cdf
```
      CDF at each x.
    - mean
```
double mean
```
    - variance
```
double variance
```
    - sd
```
double sd
```
    - entropy
```
double entropy
```
    - a
```
int[] a
```
    - q
```
double[] q
```
- Class smile.stat.distribution.ExponentialDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - lambda
```
double lambda
```
      The rate parameter.
- Class smile.stat.distribution.ExponentialFamilyMixture extends Mixture implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - L
```
double L
```
      The log-likelihood when the distribution is fit on a sample data.
    - bic
```
double bic
```
      The BIC score when the distribution is fit on a sample data.
- Class smile.stat.distribution.FDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - nu1
```
int nu1
```
      The degrees of freedom of chi-square distribution in numerator.
    - nu2
```
int nu2
```
      The degrees of freedom chi-square distribution in denominator.
    - fac
```
double fac
```
      The constant part in the pdf function.
- Class smile.stat.distribution.GammaDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - theta
```
double theta
```
      The scale parameter.
    - k
```
double k
```
      The shape parameter.
    - logTheta
```
double logTheta
```
    - thetaGammaK
```
double thetaGammaK
```
    - logGammaK
```
double logGammaK
```
    - entropy
```
double entropy
```
- Class smile.stat.distribution.GaussianDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - mu
```
double mu
```
      The mean.
    - sigma
```
double sigma
```
      The standard deviation.
    - variance
```
double variance
```
    - entropy
```
double entropy
```
    - pdfConstant
```
double pdfConstant
```
    - boxMuller
```
java.lang.Double boxMuller
```
      Cache the generated random number in Box-Muller algorithm.
- Class smile.stat.distribution.GaussianMixture extends ExponentialFamilyMixture implements Serializable
  
  serialVersionUID:
  
  2L
- Class smile.stat.distribution.GeometricDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - p
```
double p
```
      Probability of success on each trial.
    - expDist
```
ExponentialDistribution expDist
```
      The exponential distribution to generate Geometric distributed random number.
- Class smile.stat.distribution.HyperGeometricDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - N
```
int N
```
      The number of total samples.
    - m
```
int m
```
      The number of defects.
    - n
```
int n
```
      The number of draws.
    - rng
```
smile.stat.distribution.HyperGeometricDistribution.RandomNumberGenerator rng
```
- Class smile.stat.distribution.KernelDensity extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - x
```
double[] x
```
      The samples to estimate the density function.
    - gaussian
```
GaussianDistribution gaussian
```
      The kernel -- a symmetric but not necessarily positive function that integrates to one. Here we just Gaussian density function.
    - h
```
double h
```
      h > 0 is a smoothing parameter called the bandwidth.
    - mean
```
double mean
```
      The mean value.
    - sd
```
double sd
```
      The standard deviation.
    - variance
```
double variance
```
      The variance.
- Class smile.stat.distribution.LogisticDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - mu
```
double mu
```
      The location parameter.
    - scale
```
double scale
```
      The scale parameter.
- Class smile.stat.distribution.LogNormalDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - mu
```
double mu
```
      The mean of normal distribution.
    - sigma
```
double sigma
```
      The standard deviation of normal distribution.
    - mean
```
double mean
```
    - var
```
double var
```
    - entropy
```
double entropy
```
    - gaussian
```
GaussianDistribution gaussian
```
- Class smile.stat.distribution.Mixture extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - components
```
Mixture.Component[] components
```
      The components of finite mixture model.
- Class smile.stat.distribution.MultivariateExponentialFamilyMixture extends MultivariateMixture implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - L
```
double L
```
      The log-likelihood when the distribution is fit on a sample data.
    - bic
```
double bic
```
      The BIC score when the distribution is fit on a sample data.
- Class smile.stat.distribution.MultivariateGaussianDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - mu
```
double[] mu
```
      The mean vector.
    - sigma
```
DenseMatrix sigma
```
      The covariance matrix.
    - diagonal
```
boolean diagonal
```
      True if the covariance matrix is diagonal.
    - dim
```
int dim
```
    - sigmaInv
```
DenseMatrix sigmaInv
```
    - sigmaL
```
DenseMatrix sigmaL
```
    - sigmaDet
```
double sigmaDet
```
    - pdfConstant
```
double pdfConstant
```
    - length
```
int length
```
- Class smile.stat.distribution.MultivariateGaussianMixture extends MultivariateExponentialFamilyMixture implements Serializable
  
  serialVersionUID:
  
  2L
- Class smile.stat.distribution.MultivariateMixture extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - components
```
MultivariateMixture.Component[] components
```
      The components of finite mixture model.
- Class smile.stat.distribution.NegativeBinomialDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - r
```
double r
```
      The number of failures until the experiment is stopped.
    - p
```
double p
```
      The success probability in each experiment.
- Class smile.stat.distribution.PoissonDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - lambda
```
double lambda
```
      The average number of events per interval.
    - entropy
```
double entropy
```
    - rng
```
smile.stat.distribution.PoissonDistribution.RandomNumberGenerator rng
```
- Class smile.stat.distribution.ShiftedGeometricDistribution extends DiscreteDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - p
```
double p
```
      The probability of success.
    - entropy
```
double entropy
```
    - expDist
```
ExponentialDistribution expDist
```
      The exponential distribution to generate Geometric distributed random number.
- Class smile.stat.distribution.TDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - nu
```
int nu
```
      The degree of freedom.
    - entropy
```
double entropy
```
    - np
```
double np
```
    - fac
```
double fac
```
- Class smile.stat.distribution.WeibullDistribution extends AbstractDistribution implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - k
```
double k
```
      The shape parameter.
    - lambda
```
double lambda
```
      The scale parameter.
    - mean
```
double mean
```
    - variance
```
double variance
```
    - entropy
```
double entropy
```
Package smile.util
- Class smile.util.DoubleArrayList extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
double[] data
```
      The data of the list.
    - size
```
int size
```
      The index after the last entry in the list.
- Class smile.util.IntArrayList extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
int[] data
```
      The data of the list.
    - size
```
int size
```
      The index after the last entry in the list.
- Class smile.util.IntSet extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - values
```
int[] values
```
      Map of index to original values.
    - index
```
java.util.Map<K,V> index
```
      Map of values to index.
- Class smile.util.SparseArray extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - index
```
IntArrayList index
```
      The index of nonzero entries.
    - value
```
DoubleArrayList value
```
      The value of nonzero entries.

Serialized Form

Package smile.hash

Class smile.hash.PerfectHash extends java.lang.Object implements Serializable

Serialized Fields

keywords

table

kvals

min

select

Package smile.math

Class smile.math.AbstractDifferentiableMultivariateFunction extends java.lang.Object implements Serializable

Class smile.math.Complex extends java.lang.Object implements Serializable

Serialized Fields

re

im

Package smile.math.distance

Class smile.math.distance.ChebyshevDistance extends java.lang.Object implements Serializable

Class smile.math.distance.CorrelationDistance extends java.lang.Object implements Serializable

Serialized Fields

method

cor

Class smile.math.distance.DynamicTimeWarping extends java.lang.Object implements Serializable

Serialized Fields

distance

width

Class smile.math.distance.EditDistance extends java.lang.Object implements Serializable

Serialized Fields

weight

r

damerau

FKP

brf

Class smile.math.distance.EuclideanDistance extends java.lang.Object implements Serializable

Serialized Fields

weight

Class smile.math.distance.HammingDistance extends java.lang.Object implements Serializable

Class smile.math.distance.JaccardDistance extends java.lang.Object implements Serializable

Class smile.math.distance.JensenShannonDistance extends java.lang.Object implements Serializable

Class smile.math.distance.LeeDistance extends java.lang.Object implements Serializable

Serialized Fields

q

Class smile.math.distance.MahalanobisDistance extends java.lang.Object implements Serializable

Serialized Fields

sigma

sigmaInv

Class smile.math.distance.ManhattanDistance extends java.lang.Object implements Serializable

Serialized Fields

weight

Class smile.math.distance.MinkowskiDistance extends java.lang.Object implements Serializable

Serialized Fields

p

weight

Class smile.math.distance.SparseChebyshevDistance extends java.lang.Object implements Serializable

Class smile.math.distance.SparseEuclideanDistance extends java.lang.Object implements Serializable

Serialized Fields

weight

Class smile.math.distance.SparseManhattanDistance extends java.lang.Object implements Serializable

Serialized Fields

weight

Class smile.math.distance.SparseMinkowskiDistance extends java.lang.Object implements Serializable

Serialized Fields

p

weight

Package smile.math.kernel

Class smile.math.kernel.BinarySparseGaussianKernel extends java.lang.Object implements Serializable

Serialized Fields

gamma

Class smile.math.kernel.BinarySparseHyperbolicTangentKernel extends java.lang.Object implements Serializable

Serialized Fields

scale

offset

Class smile.math.kernel.BinarySparseLaplacianKernel extends java.lang.Object implements Serializable

Serialized Fields

gamma

Class smile.math.kernel.BinarySparseLinearKernel extends java.lang.Object implements Serializable

Class smile.math.kernel.BinarySparsePolynomialKernel extends java.lang.Object implements Serializable

Serialized Fields

degree

scale

offset