Overview
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
T
T
- Variable in class jml.classification.
AdaBoost
Number of iterations, or the number of weak classifiers.
t
- Static variable in class jml.optimization.
AcceleratedProximalGradient
Step length for backtracking line search.
t
- Static variable in class jml.optimization.
BoundConstrainedPLBFGS
Step length for backtracking line search.
t
- Static variable in class jml.optimization.
LBFGS
Step length for backtracking line search.
t
- Static variable in class jml.optimization.
LBFGSOnSimplex
Step length for backtracking line search.
t
- Static variable in class jml.optimization.
NonlinearConjugateGradient
Step length for backtracking line search.
t
- Static variable in class jml.optimization.
NonnegativePLBFGS
Step length for backtracking line search.
t
- Static variable in class jml.optimization.
PrimalDualInteriorPoint
t
- Static variable in class jml.utils.
Time
thetasum
- Variable in class jml.topics.
LdaGibbsSampler
cumulative statistics of theta
THIN_INTERVAL
- Static variable in class jml.topics.
LdaGibbsSampler
sampling lag (?)
thinInterval
- Variable in class jml.options.
LDAOptions
tic()
- Static method in class jml.utils.
Time
TSTART = TIC saves the time to an output argument, TSTART.
Time
- Class in
jml.utils
Time()
- Constructor for class jml.utils.
Time
times(RealMatrix, RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate the element-wise multiplication of two matrices X and Y.
times(double, RealMatrix)
- Static method in class jml.matlab.
Matlab
Array multiplication between a scalar and a matrix.
times(RealMatrix, double)
- Static method in class jml.matlab.
Matlab
Array multiplication between a matrix and a scalar.
times(double, double)
- Static method in class jml.matlab.
Matlab
Scalar multiplication between two scalars a and b.
timesAssign(double[], double)
- Static method in class jml.operation.
ArrayOperation
Element-wise multiplication and assignment operation.
timesAssign(double[], double[])
- Static method in class jml.operation.
ArrayOperation
Element-wise multiplication and assignment operation.
timesAssign(double[], double)
- Method in class jml.sequence.
HMM
Element-wise multiplication and assignment operation.
timesAssign(double[], double[])
- Method in class jml.sequence.
HMM
Element-wise multiplication and assignment operation.
toc()
- Static method in class jml.utils.
Time
Calculate the elapsed time, in seconds, since the most recent execution of the TIC command.
toc(double)
- Static method in class jml.utils.
Time
TOC(TSTART) measures the time elapsed since the TIC command that generated TSTART.
tol
- Static variable in class jml.optimization.
BoundConstrainedPLBFGS
Tolerance of convergence.
tol
- Static variable in class jml.optimization.
LBFGSOnSimplex
Tolerance of convergence.
tol
- Static variable in class jml.optimization.
NonnegativePLBFGS
Tolerance of convergence.
topicMatrix
- Variable in class jml.topics.
TopicModel
A V-by-K matrix, where each column is a topic vector represented by a vector of weights.
TopicModel
- Class in
jml.topics
Abstract super class for all topic models.
TopicModel()
- Constructor for class jml.topics.
TopicModel
Default constructor for this topic model.
TopicModel(int)
- Constructor for class jml.topics.
TopicModel
Constructor for this topic model given the number of topics for a corpus.
toString()
- Method in class jml.matlab.utils.
Pair
trace(RealMatrix)
- Static method in class jml.matlab.
Matlab
Calculate the trace of a matrix A.
train()
- Method in class jml.classification.
AdaBoost
train()
- Method in class jml.classification.
Classifier
Train the classifier.
train()
- Method in class jml.classification.
LogisticRegressionMCBoundConstrainedPLBFGS
train()
- Method in class jml.classification.
LogisticRegressionMCGradientDescent
train()
- Method in class jml.classification.
LogisticRegressionMCLBFGS
train()
- Method in class jml.classification.
LogisticRegressionMCLBFGS_Ori
train()
- Method in class jml.classification.
LogisticRegressionMCNonlinearConjugateGradient
train()
- Method in class jml.classification.
LogisticRegressionMCNonnegativePLBFGS
train()
- Method in class jml.classification.
MaxEnt
train()
- Method in class jml.classification.
MultiClassSVM
train(RealMatrix, int)
- Method in class jml.online.classification.
OnlineBinaryClassifier
Train the classifier with a new sample X.
train(double[], int)
- Method in class jml.online.classification.
OnlineBinaryClassifier
Train the classifier with a new sample X.
train(RealMatrix, int)
- Method in class jml.online.classification.
Perceptron
train(RealMatrix, int)
- Method in class jml.online.classification.
Winnow
train()
- Method in class jml.regression.
LASSO
train(RealMatrix, RealMatrix, Options)
- Static method in class jml.regression.
LASSO
train(RealMatrix, RealMatrix)
- Method in class jml.regression.
LASSO
train()
- Method in class jml.regression.
Regression
Train the regression model.
train(RealMatrix, RealMatrix)
- Method in class jml.regression.
Regression
train()
- Method in class jml.sequence.
CRF
Estimate parameters for the basic CRF by a maximum conditional log-likelihood estimation principle.
train()
- Method in class jml.sequence.
HMM
Inference the basic HMM with scaling.
train()
- Method in class jml.topics.
LDA
train()
- Method in class jml.topics.
LSI
train()
- Method in class jml.topics.
SparseLSA
train()
- Method in class jml.topics.
TopicModel
Train this topic model to fit the given corpus.
transposed
- Variable in class jml.matlab.utils.
SingularValueDecompositionImpl
TwoDimArray2Matrix(ArrayList<double[]>)
- Static method in class jml.data.
Data
Overview
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z