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:
  
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  - 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
  
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- Class smile.math.distance.CorrelationDistance extends java.lang.Object implements Serializable
  
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  - 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:
  
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  - Serialized Fields
    - distance
```
Distance<T> distance
```
    - width
```
double width
```
- Class smile.math.distance.EditDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - 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 and 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:
  
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  - 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
  
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- Class smile.math.distance.JensenShannonDistance extends java.lang.Object implements Serializable
  
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- Class smile.math.distance.LeeDistance extends java.lang.Object implements Serializable
  
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  - Serialized Fields
    - q
```
int q
```
- Class smile.math.distance.MahalanobisDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - sigma
```
Matrix sigma
```
    - sigmaInv
```
Matrix sigmaInv
```
- Class smile.math.distance.ManhattanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.MinkowskiDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - 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:
  
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- Class smile.math.distance.SparseEuclideanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.SparseManhattanDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - weight
```
double[] weight
```
      The weights used in weighted distance.
- Class smile.math.distance.SparseMinkowskiDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - 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 Gaussian implements Serializable
- Class smile.math.kernel.BinarySparseHyperbolicTangentKernel extends HyperbolicTangent implements Serializable
- Class smile.math.kernel.BinarySparseLaplacianKernel extends Laplacian implements Serializable
  
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- Class smile.math.kernel.BinarySparseLinearKernel extends java.lang.Object implements Serializable
  
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- Class smile.math.kernel.BinarySparseMaternKernel extends Matern implements Serializable
- Class smile.math.kernel.BinarySparsePolynomialKernel extends Polynomial implements Serializable
- Class smile.math.kernel.BinarySparseThinPlateSplineKernel extends ThinPlateSpline implements Serializable
- Class smile.math.kernel.Gaussian extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - sigma
```
double sigma
```
      The length scale of the kernel.
    - lo
```
double lo
```
      The lower bound of length scale for hyperparameter tuning.
    - hi
```
double hi
```
      The upper bound of length scale for hyperparameter tuning.
- Class smile.math.kernel.GaussianKernel extends Gaussian implements Serializable
- Class smile.math.kernel.HellingerKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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- Class smile.math.kernel.HyperbolicTangent extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - scale
```
double scale
```
    - offset
```
double offset
```
    - lo
```
double[] lo
```
    - hi
```
double[] hi
```
- Class smile.math.kernel.HyperbolicTangentKernel extends HyperbolicTangent implements Serializable
- Class smile.math.kernel.Laplacian extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - sigma
```
double sigma
```
      The length scale of the kernel.
    - lo
```
double lo
```
      The lower bound of length scale for hyperparameter tuning.
    - hi
```
double hi
```
      The upper bound of length scale for hyperparameter tuning.
- Class smile.math.kernel.LaplacianKernel extends Laplacian implements Serializable
- Class smile.math.kernel.LinearKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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- Class smile.math.kernel.Matern extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - sigma
```
double sigma
```
      The length scale of the kernel.
    - nu
```
double nu
```
      The smoothness of the kernel.
    - lo
```
double lo
```
      The lower bound of length scale for hyperparameter tuning.
    - hi
```
double hi
```
      The upper bound of length scale for hyperparameter tuning.
- Class smile.math.kernel.MaternKernel extends Matern implements Serializable
- Class smile.math.kernel.PearsonKernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - omega
```
double omega
```
      The tailing factor of the peak.
    - sigma
```
double sigma
```
      Pearson width.
    - C
```
double C
```
      The coefficient 4 * (2 ^ (1/omega) - 1) / (sigma^2).
    - lo
```
double lo
```
      The lower bound of sigma.
    - hi
```
double hi
```
      The upper bound of sigma.
- Class smile.math.kernel.Polynomial extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - degree
```
int degree
```
    - scale
```
double scale
```
    - offset
```
double offset
```
    - lo
```
double[] lo
```
    - hi
```
double[] hi
```
- Class smile.math.kernel.PolynomialKernel extends Polynomial implements Serializable
- Class smile.math.kernel.ProductKernel extends java.lang.Object implements Serializable
  - Serialized Fields
    - k1
```
MercerKernel<T> k1
```
    - k2
```
MercerKernel<T> k2
```
- Class smile.math.kernel.SparseGaussianKernel extends Gaussian implements Serializable
- Class smile.math.kernel.SparseHyperbolicTangentKernel extends HyperbolicTangent implements Serializable
- Class smile.math.kernel.SparseLaplacianKernel extends Laplacian implements Serializable
- Class smile.math.kernel.SparseLinearKernel extends java.lang.Object implements Serializable
  
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- Class smile.math.kernel.SparseMaternKernel extends Matern implements Serializable
- Class smile.math.kernel.SparsePolynomialKernel extends Polynomial implements Serializable
- Class smile.math.kernel.SparseThinPlateSplineKernel extends ThinPlateSpline implements Serializable
- Class smile.math.kernel.SumKernel extends java.lang.Object implements Serializable
  - Serialized Fields
    - k1
```
MercerKernel<T> k1
```
    - k2
```
MercerKernel<T> k2
```
- Class smile.math.kernel.ThinPlateSpline extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - sigma
```
double sigma
```
      The length scale of the kernel.
    - lo
```
double lo
```
      The lower bound of length scale for hyperparameter tuning.
    - hi
```
double hi
```
      The upper bound of length scale for hyperparameter tuning.
- Class smile.math.kernel.ThinPlateSplineKernel extends ThinPlateSpline implements Serializable
Package smile.math.matrix
- Class smile.math.matrix.BandMatrix extends DMatrix implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - AB
```
double[] AB
```
      The band matrix storage.
    - m
```
int m
```
      The number of rows.
    - n
```
int n
```
      The number of columns.
    - kl
```
int kl
```
      The number of subdiagonal rows.
    - ku
```
int ku
```
      The number of superdiagonal rows.
    - uplo
```
UPLO uplo
```
      The upper or lower triangle of the symmetric band matrix.
- Class smile.math.matrix.BandMatrix.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
BandMatrix lu
```
      The Cholesky decomposition.
- Class smile.math.matrix.BandMatrix.LU extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
BandMatrix lu
```
      The LU decomposition.
    - ipiv
```
int[] ipiv
```
      The pivot vector.
    - info
```
int info
```
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.
- Class smile.math.matrix.DMatrix extends IMatrix<double[]> implements Serializable
- Class smile.math.matrix.FloatBandMatrix extends SMatrix implements Serializable
  
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  - Serialized Fields
    - AB
```
float[] AB
```
      The band matrix storage.
    - m
```
int m
```
      The number of rows.
    - n
```
int n
```
      The number of columns.
    - kl
```
int kl
```
      The number of subdiagonal rows.
    - ku
```
int ku
```
      The number of superdiagonal rows.
    - uplo
```
UPLO uplo
```
      The upper or lower triangle of the symmetric band matrix.
- Class smile.math.matrix.FloatBandMatrix.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
FloatBandMatrix lu
```
      The Cholesky decomposition.
- Class smile.math.matrix.FloatBandMatrix.LU extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
FloatBandMatrix lu
```
      The LU decomposition.
    - ipiv
```
int[] ipiv
```
      The pivot vector.
    - info
```
int info
```
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.
- Class smile.math.matrix.FloatMatrix extends SMatrix implements Serializable
  
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  - Serialization Methods
    - readObject
```
private void readObject(java.io.ObjectInputStream in)
                 throws java.io.IOException,
                        java.lang.ClassNotFoundException
```
      Customized object serialization.
      
      Throws:
      
      java.io.IOException
      
      java.lang.ClassNotFoundException
    - writeObject
```
private void writeObject(java.io.ObjectOutputStream out)
                  throws java.io.IOException
```
      Customized object serialization.
      
      Throws:
      
      java.io.IOException
  - Serialized Fields
    - m
```
int m
```
      The number of rows.
    - n
```
int n
```
      The number of columns.
    - uplo
```
UPLO uplo
```
      If not null, the matrix is symmetric or triangular.
    - diag
```
Diag diag
```
      If not null, the matrix is triangular. The flag specifies if a triangular matrix has unit diagonal elements.
- Class smile.math.matrix.FloatMatrix.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
FloatMatrix lu
```
      The Cholesky decomposition.
- Class smile.math.matrix.FloatMatrix.EVD extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - wr
```
float[] wr
```
      The real part of eigenvalues. By default the eigenvalues and eigenvectors are not always in sorted order. The sort function puts the eigenvalues in descending order and reorder the corresponding eigenvectors.
    - wi
```
float[] wi
```
      The imaginary part of eigenvalues.
    - Vl
```
FloatMatrix Vl
```
      The left eigenvectors.
    - Vr
```
FloatMatrix Vr
```
      The right eigenvectors.
- Class smile.math.matrix.FloatMatrix.LU extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
FloatMatrix lu
```
      The LU decomposition.
    - ipiv
```
int[] ipiv
```
      The pivot vector.
    - info
```
int info
```
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.
- Class smile.math.matrix.FloatMatrix.QR extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - qr
```
FloatMatrix qr
```
      The QR decomposition.
    - tau
```
float[] tau
```
      The scalar factors of the elementary reflectors
- Class smile.math.matrix.FloatMatrix.SVD extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - m
```
int m
```
      The number of rows of matrix.
    - n
```
int n
```
      The number of columns of matrix.
    - s
```
float[] s
```
      The singular values in descending order.
    - U
```
FloatMatrix U
```
      The left singular vectors U.
    - V
```
FloatMatrix V
```
      The right singular vectors V.
- Class smile.math.matrix.FloatSparseMatrix extends SMatrix implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - m
```
int m
```
      The number of rows.
    - n
```
int n
```
      The number of columns.
    - colIndex
```
int[] colIndex
```
      The index of the start of columns.
    - rowIndex
```
int[] rowIndex
```
      The row indices of nonzero values.
    - nonzeros
```
float[] nonzeros
```
      The array of nonzero values stored column by column.
- Class smile.math.matrix.FloatSymmMatrix extends SMatrix implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - AP
```
float[] AP
```
      The packed matrix storage.
    - n
```
int n
```
      The number of rows/columns.
    - uplo
```
UPLO uplo
```
      The upper or lower triangle of the symmetric matrix.
- Class smile.math.matrix.FloatSymmMatrix.BunchKaufman extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
FloatSymmMatrix lu
```
      The Bunch–Kaufman decomposition.
    - ipiv
```
int[] ipiv
```
      The pivot vector.
    - info
```
int info
```
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.
- Class smile.math.matrix.FloatSymmMatrix.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
FloatSymmMatrix lu
```
      The Cholesky decomposition.
- Class smile.math.matrix.IMatrix extends java.lang.Object implements Serializable
  - Serialized Fields
    - rowNames
```
java.lang.String[] rowNames
```
      The row names.
    - colNames
```
java.lang.String[] colNames
```
      The column names.
- Class smile.math.matrix.Matrix extends DMatrix implements Serializable
  
  serialVersionUID:
  
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  - Serialization Methods
    - readObject
```
private void readObject(java.io.ObjectInputStream in)
                 throws java.io.IOException,
                        java.lang.ClassNotFoundException
```
      Customized object serialization.
      
      Throws:
      
      java.io.IOException
      
      java.lang.ClassNotFoundException
    - writeObject
```
private void writeObject(java.io.ObjectOutputStream out)
                  throws java.io.IOException
```
      Customized object serialization.
      
      Throws:
      
      java.io.IOException
  - Serialized Fields
    - m
```
int m
```
      The number of rows.
    - n
```
int n
```
      The number of columns.
    - uplo
```
UPLO uplo
```
      If not null, the matrix is symmetric or triangular.
    - diag
```
Diag diag
```
      If not null, the matrix is triangular. The flag specifies if a triangular matrix has unit diagonal elements.
- Class smile.math.matrix.Matrix.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
Matrix lu
```
      The Cholesky decomposition.
- Class smile.math.matrix.Matrix.EVD extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - wr
```
double[] wr
```
      The real part of eigenvalues. By default the eigenvalues and eigenvectors are not always in sorted order. The sort function puts the eigenvalues in descending order and reorder the corresponding eigenvectors.
    - wi
```
double[] wi
```
      The imaginary part of eigenvalues.
    - Vl
```
Matrix Vl
```
      The left eigenvectors.
    - Vr
```
Matrix Vr
```
      The right eigenvectors.
- Class smile.math.matrix.Matrix.LU extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
Matrix lu
```
      The LU decomposition.
    - ipiv
```
int[] ipiv
```
      The pivot vector.
    - info
```
int info
```
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.
- Class smile.math.matrix.Matrix.QR extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - qr
```
Matrix qr
```
      The QR decomposition.
    - tau
```
double[] tau
```
      The scalar factors of the elementary reflectors
- Class smile.math.matrix.Matrix.SVD extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - m
```
int m
```
      The number of rows of matrix.
    - n
```
int n
```
      The number of columns of matrix.
    - s
```
double[] s
```
      The singular values in descending order.
    - U
```
Matrix U
```
      The left singular vectors U.
    - V
```
Matrix V
```
      The right singular vectors V.
- Class smile.math.matrix.SMatrix extends IMatrix<float[]> implements Serializable
- Class smile.math.matrix.SparseMatrix extends DMatrix implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - m
```
int m
```
      The number of rows.
    - n
```
int n
```
      The number of columns.
    - colIndex
```
int[] colIndex
```
      The index of the start of columns.
    - rowIndex
```
int[] rowIndex
```
      The row indices of nonzero values.
    - nonzeros
```
double[] nonzeros
```
      The array of nonzero values stored column by column.
- Class smile.math.matrix.SymmMatrix extends DMatrix implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - AP
```
double[] AP
```
      The packed matrix storage.
    - n
```
int n
```
      The number of rows/columns.
    - uplo
```
UPLO uplo
```
      The upper or lower triangle of the symmetric matrix.
- Class smile.math.matrix.SymmMatrix.BunchKaufman extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
SymmMatrix lu
```
      The Bunch–Kaufman decomposition.
    - ipiv
```
int[] ipiv
```
      The pivot vector.
    - info
```
int info
```
      If info = 0, the LU decomposition was successful. If info = i > 0, U(i,i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, and division by zero will occur if it is used to solve a system of equations.
- Class smile.math.matrix.SymmMatrix.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - lu
```
SymmMatrix lu
```
      The Cholesky decomposition.
Package smile.math.rbf
- Class smile.math.rbf.GaussianRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - r0
```
double r0
```
      The scale factor.
- Class smile.math.rbf.InverseMultiquadricRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - r02
```
double r02
```
- Class smile.math.rbf.MultiquadricRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - Serialized Fields
    - r02
```
double r02
```
- Class smile.math.rbf.ThinPlateRadialBasis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
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  - 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
  
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  - 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
  
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  - 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
  
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  - 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
```
    - z1
```
double z1
```
      The Box-Muller algorithm generate a pair of random numbers. z1 is to cache the second one.
- 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
```
    - 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.Mixture.Component extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - priori
```
double priori
```
      The priori probability of component.
    - distribution
```
Distribution distribution
```
      The distribution of component.
- 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
```
Matrix sigma
```
      The covariance matrix.
    - diagonal
```
boolean diagonal
```
      True if the covariance matrix is diagonal.
    - dim
```
int dim
```
    - sigmaInv
```
Matrix sigmaInv
```
    - sigmaL
```
Matrix 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.MultivariateMixture.Component extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - priori
```
double priori
```
      The priori probability of component.
    - distribution
```
MultivariateDistribution distribution
```
      The distribution of component.
- 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.taxonomy
- Class smile.taxonomy.TaxonomicDistance extends java.lang.Object implements Serializable
  - Serialized Fields
    - taxonomy
```
Taxonomy taxonomy
```
      The taxonomy basis to calculate the distance.
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.
    - min
```
int min
```
      The minimum of values.
    - max
```
int max
```
      The maximum of values.
- 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 Gaussian implements Serializable

Class smile.math.kernel.BinarySparseHyperbolicTangentKernel extends HyperbolicTangent implements Serializable

Class smile.math.kernel.BinarySparseLaplacianKernel extends Laplacian implements Serializable

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

Class smile.math.kernel.BinarySparseMaternKernel extends Matern implements Serializable

Class smile.math.kernel.BinarySparsePolynomialKernel extends Polynomial implements Serializable

Class smile.math.kernel.BinarySparseThinPlateSplineKernel extends ThinPlateSpline implements Serializable

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

Serialized Fields

sigma

lo

hi

Class smile.math.kernel.GaussianKernel extends Gaussian implements Serializable

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

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

Serialized Fields