Class Mamap22_fit_multiclassKt
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- All Implemented Interfaces:
public final class Mamap22_fit_multiclassKt
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Method Summary
Modifier and Type Method Description final static MatrixCell
mamap22_fit_gamma_fs_trace(Matrix T, Matrix A)
Fits MAMAP(2,2) from a marked trace using forward selection with gamma auto-correlation. final static MatrixCell
mamap22_fit_fs_multiclass(MatrixCell amap, Matrix P, Matrix F, Matrix S, Object options, DoubleArray weights)
Fits MAMAP(2,2) with forward moments (F) and sigma characteristics (S) for 2 classes. final static MatrixCell
mamap22_fit_bs_multiclass(MatrixCell amap, Matrix P, Matrix B, Matrix S, Object options, DoubleArray weights)
Fits MAMAP(2,2) with backward moments (B) and sigma characteristics (S) for 2 classes. final static MatrixCell
mamap22_fit_gamma_bs(Double M1, Double M2, Double M3, Double GAMMA, Matrix P, Matrix B, Matrix S)
Fits MAMAP(2,2) with backward selection using gamma auto-correlation. final static MatrixCell
mamap22_fit_gamma_fs(Double M1, Double M2, Double M3, Double GAMMA, Matrix P, Matrix F, Matrix S)
Fits MAMAP(2,2) with forward selection using gamma auto-correlation. final static MatrixCell
mamap22_fit_gamma_bs_trace(Matrix T, Matrix A)
Fits MAMAP(2,2) from a marked trace using backward selection with gamma auto-correlation. final static MatrixCell
mamap22_fit_gamma_bs_mmap(MatrixCell mmap)
Fits MAMAP(2,2) from an existing MMAP using backward selection with gamma auto-correlation. final static MatrixCell
mamap22_fit_gamma_fs_mmap(MatrixCell mmap)
Fits MAMAP(2,2) from an existing MMAP using forward selection with gamma auto-correlation. -
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Method Detail
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mamap22_fit_gamma_fs_trace
final static MatrixCell mamap22_fit_gamma_fs_trace(Matrix T, Matrix A)
Fits MAMAP(2,2) from a marked trace using forward selection with gamma auto-correlation. Performs approximate fitting of a marked trace with two classes, yielding a second-order acyclic MMAP2 that fits the forward moments and the class transition probabilities.
Note: This is a placeholder implementation. Full trace support requires trace analysis functions.
- Parameters:
T
- Inter-arrival timesA
- Class marks of each job- Returns:
Fitted MAMAP(2,2)
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mamap22_fit_fs_multiclass
final static MatrixCell mamap22_fit_fs_multiclass(MatrixCell amap, Matrix P, Matrix F, Matrix S, Object options, DoubleArray weights)
Fits MAMAP(2,2) with forward moments (F) and sigma characteristics (S) for 2 classes.
- Parameters:
amap
- underlying AMAP(2) processP
- class probabilities (1x2 matrix)F
- forward moments (1x2 matrix)S
- sigma matrix (2x2 matrix)options
- additional options (unused, for compatibility)weights
- weights for forward vs sigma fitting wF, wS- Returns:
fitted MAMAP(2,2)
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mamap22_fit_bs_multiclass
final static MatrixCell mamap22_fit_bs_multiclass(MatrixCell amap, Matrix P, Matrix B, Matrix S, Object options, DoubleArray weights)
Fits MAMAP(2,2) with backward moments (B) and sigma characteristics (S) for 2 classes.
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mamap22_fit_gamma_bs
final static MatrixCell mamap22_fit_gamma_bs(Double M1, Double M2, Double M3, Double GAMMA, Matrix P, Matrix B, Matrix S)
Fits MAMAP(2,2) with backward selection using gamma auto-correlation. Performs approximate fitting of a MMAP given the underlying MAP, the class probabilities (always fitted exactly), the backward moments, and the one-step class transition probabilities.
- Parameters:
M1
- First moment of inter-arrival timesM2
- Second moment of inter-arrival timesM3
- Third moment of inter-arrival timesGAMMA
- Auto-correlation decay rate of inter-arrival timesP
- Class probabilitiesB
- First-order backward momentsS
- One-step class transition probabilities- Returns:
Fitted MAMAP(2,2)
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mamap22_fit_gamma_fs
final static MatrixCell mamap22_fit_gamma_fs(Double M1, Double M2, Double M3, Double GAMMA, Matrix P, Matrix F, Matrix S)
Fits MAMAP(2,2) with forward selection using gamma auto-correlation. Performs approximate fitting of a MMAP given the underlying MAP, the class probabilities (always fitted exactly), the forward moments, and the one-step class transition probabilities.
- Parameters:
M1
- First moment of inter-arrival timesM2
- Second moment of inter-arrival timesM3
- Third moment of inter-arrival timesGAMMA
- Auto-correlation decay rate of inter-arrival timesP
- Class probabilitiesF
- First-order forward momentsS
- One-step class transition probabilities- Returns:
Fitted MAMAP(2,2)
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mamap22_fit_gamma_bs_trace
final static MatrixCell mamap22_fit_gamma_bs_trace(Matrix T, Matrix A)
Fits MAMAP(2,2) from a marked trace using backward selection with gamma auto-correlation. Performs approximate fitting of a marked trace with two classes, yielding a second-order acyclic MMAP2 that fits the backward moments and the class transition probabilities.
Note: This is a placeholder implementation. Full trace support requires trace analysis functions.
- Parameters:
T
- Inter-arrival timesA
- Class marks of each job- Returns:
Fitted MAMAP(2,2)
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mamap22_fit_gamma_bs_mmap
final static MatrixCell mamap22_fit_gamma_bs_mmap(MatrixCell mmap)
Fits MAMAP(2,2) from an existing MMAP using backward selection with gamma auto-correlation. Performs approximate fitting of an MMAP2, yielding a second-order acyclic MMAP2 fitting the backward moments and the class transition probabilities.
- Parameters:
mmap
- The MMAP2 to fit (arbitrary order)- Returns:
Fitted second-order MAMAP2
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mamap22_fit_gamma_fs_mmap
final static MatrixCell mamap22_fit_gamma_fs_mmap(MatrixCell mmap)
Fits MAMAP(2,2) from an existing MMAP using forward selection with gamma auto-correlation. Performs approximate fitting of an MMAP2, yielding a second-order acyclic MMAP2 fitting the forward moments and the class transition probabilities.
- Parameters:
mmap
- The MMAP2 to fit (arbitrary order)- Returns:
Fitted second-order MAMAP2
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