A B C D E F G H I L M N O P R S T U V W

A

acceptSplit(Split) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Splitter
 
accuracies - Variable in class com.pawjaw.classification.crf.lmcbt.CRFValidator
 
accuracies - Variable in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
accuracyForwardBackward(List<Point[]>, List<int[]>) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Label given sequence sand compare to given labels for testing purposes.
accuracyViterbi(List<Point[]>, List<int[]>) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Label given sequence sand compare to given labels for testing purposes.
allocate(Configuration) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 
allocate(Configuration, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 

B

boosted_tree_threads - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Number of threads used in multithreaded tree boosting.
boostedOutput(Configuration, ExpandedPointSequence, int, double[][]) - Static method in class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 
boostedOutput(Configuration, ExpandedPointSequence, int, int, double[][]) - Static method in class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 
BoostedTrees - Class in com.pawjaw.classification.crf.lmcbt.trees
 
BoostedTrees(Configuration, TrainingSequences, int, Semaphore, Semaphore) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 
boosting_iterations - Variable in class com.pawjaw.classification.crf.lmcbt.CRFValidator
 
boosting_iterations - Variable in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
boosting_iterations_between_tests - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Boosting itereations to run between evaluating stopping criteria when validation data is provided for training.
build(Configuration, int, Splitter, List<Integer>) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
build(Configuration, int, Splitter, int[]) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 

C

cache_expanded_true_features - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
cacheTrueFeatures() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
com.pawjaw.classification.crf.lmcbt - package com.pawjaw.classification.crf.lmcbt
This package is an implementation of a linear Markov chain Conditional Random Field (CRF) model that uses boosted regression trees for training and inference.
com.pawjaw.classification.crf.lmcbt.configurations - package com.pawjaw.classification.crf.lmcbt.configurations
 
com.pawjaw.classification.crf.lmcbt.points - package com.pawjaw.classification.crf.lmcbt.points
 
com.pawjaw.classification.crf.lmcbt.readers - package com.pawjaw.classification.crf.lmcbt.readers
 
com.pawjaw.classification.crf.lmcbt.sequences - package com.pawjaw.classification.crf.lmcbt.sequences
 
com.pawjaw.classification.crf.lmcbt.tests - package com.pawjaw.classification.crf.lmcbt.tests
 
com.pawjaw.classification.crf.lmcbt.trees - package com.pawjaw.classification.crf.lmcbt.trees
 
compare(int, int, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
compareTo(Split) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Split
 
Configuration - Class in com.pawjaw.classification.crf.lmcbt.configurations
Single point for configuring all options for training and inference.
Configuration(int, int, int) - Constructor for class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
CoNLL2000CRFTest - Class in com.pawjaw.classification.crf.lmcbt.tests
 
CoNLL2000CRFTest() - Constructor for class com.pawjaw.classification.crf.lmcbt.tests.CoNLL2000CRFTest
 
CoNLL2000LabeledSequenceDataReader - Class in com.pawjaw.classification.crf.lmcbt.readers
 
CoNLL2000LabeledSequenceDataReader() - Constructor for class com.pawjaw.classification.crf.lmcbt.readers.CoNLL2000LabeledSequenceDataReader
 
correctForwardBackward(ExpandedPointSequence, int[]) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Label given sequence and compare to given labels for testing purposes.
correctVirterbi(ExpandedPointSequence, int[]) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Label given sequence and compare to given labels for testing purposes.
CRFInference - Class in com.pawjaw.classification.crf.lmcbt
Class to take trained and serialized CRF model and apply to new data for labeling.
CRFInference() - Constructor for class com.pawjaw.classification.crf.lmcbt.CRFInference
 
CRFMath - Class in com.pawjaw.classification.crf.lmcbt
 
CRFMath() - Constructor for class com.pawjaw.classification.crf.lmcbt.CRFMath
 
CRFTest - Class in com.pawjaw.classification.crf.lmcbt.tests
 
CRFTest() - Constructor for class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
CRFTrainer - Class in com.pawjaw.classification.crf.lmcbt
Main entry point for training new CRF model.
CRFTrainer(Configuration, int) - Constructor for class com.pawjaw.classification.crf.lmcbt.CRFTrainer
Instantiate this, then use set() repeatedly finally followed by train().
CRFValidator - Class in com.pawjaw.classification.crf.lmcbt
 
CRFValidator(Configuration, List<Point[]>, List<int[]>) - Constructor for class com.pawjaw.classification.crf.lmcbt.CRFValidator
 

D

DefaultConfiguration - Class in com.pawjaw.classification.crf.lmcbt.configurations
 
DefaultConfiguration(int, int, int) - Constructor for class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
DensePoint - Class in com.pawjaw.classification.crf.lmcbt.points
 
DensePoint() - Constructor for class com.pawjaw.classification.crf.lmcbt.points.DensePoint
 

E

eExp(double) - Static method in class com.pawjaw.classification.crf.lmcbt.CRFMath
 
eLog(double) - Static method in class com.pawjaw.classification.crf.lmcbt.CRFMath
 
eLogProduct(double, double) - Static method in class com.pawjaw.classification.crf.lmcbt.CRFMath
 
eLogSum(double, double) - Static method in class com.pawjaw.classification.crf.lmcbt.CRFMath
 
example_indexes - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Node
 
examples() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
expanded_features - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Number of features in each individual element (aka point) including features incorporated through sliding window and previous point label.
expandedLength(Configuration) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
ExpandedPointSequence - Class in com.pawjaw.classification.crf.lmcbt.sequences
 
ExpandedPointSequence() - Constructor for class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 

F

false_child - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Node
 
false_child_output - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Split
 
features() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
findBestSplit(Node) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Splitter
 
finished() - Method in class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 
finished() - Method in class com.pawjaw.classification.crf.lmcbt.trees.Splitter
 

G

gain - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Split
 
getBoostedTreeThreads() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getBoostedTreeThreads() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getBoostingIterationsBetweenTests() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getBoostingIterationsBetweenTests() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getCachedTrueFeatures(int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
getCacheExpandedTrueFeatures() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getCacheExpandedTrueFeatures() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getCrossValidationPasses() - Method in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
getLabelCount() - Method in class com.pawjaw.classification.crf.lmcbt.readers.CoNLL2000LabeledSequenceDataReader
 
getLabelCount() - Method in class com.pawjaw.classification.crf.lmcbt.readers.LabeledSequenceDataReader
 
getLabelCount() - Method in class com.pawjaw.classification.crf.lmcbt.readers.TreeCRFLabeledSequenceDataReader
 
getLabeledSequenceDataReader() - Method in class com.pawjaw.classification.crf.lmcbt.tests.CoNLL2000CRFTest
 
getLabeledSequenceDataReader() - Method in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
getLabeledSequenceDataReader() - Method in class com.pawjaw.classification.crf.lmcbt.tests.HyphenTest
 
getLabeledSequenceDataReader() - Method in class com.pawjaw.classification.crf.lmcbt.tests.NetTalkTest
 
getLabeledSequenceDataReader() - Method in class com.pawjaw.classification.crf.lmcbt.tests.ProteinCRFTest
 
getMaxBoostingIterations() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getMaxBoostingIterations() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getMaxLeavesPerTree() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getMaxLeavesPerTree() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getMinBoostingIterations() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getMinBoostingIterations() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getMinRelativeAccuracyImprovement() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getMinRelativeAccuracyImprovement() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getPointFeatureCount() - Method in class com.pawjaw.classification.crf.lmcbt.readers.CoNLL2000LabeledSequenceDataReader
 
getPointFeatureCount() - Method in class com.pawjaw.classification.crf.lmcbt.readers.LabeledSequenceDataReader
 
getPointFeatureCount() - Method in class com.pawjaw.classification.crf.lmcbt.readers.TreeCRFLabeledSequenceDataReader
 
getRegressionTreeShrinkage() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getRegressionTreeShrinkage() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getReportTrainingProgress() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getReportTrainingProgress() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getSplitterThreads() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
getSplitterThreads() - Method in class com.pawjaw.classification.crf.lmcbt.configurations.DefaultConfiguration
 
getTarget(int, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 
getTarget(int, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
getTrainingPercentage() - Method in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
getTrueFeatures(Configuration, int, int, List<Integer>) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
getTrueFeatures(Configuration, int, List<Integer>) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
getTrueFeatures(int, List<Integer>) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
getWindowRadius() - Method in class com.pawjaw.classification.crf.lmcbt.tests.CoNLL2000CRFTest
 
getWindowRadius() - Method in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
getWindowRadius() - Method in class com.pawjaw.classification.crf.lmcbt.tests.HyphenTest
 
getWindowRadius() - Method in class com.pawjaw.classification.crf.lmcbt.tests.NetTalkTest
 
getWindowRadius() - Method in class com.pawjaw.classification.crf.lmcbt.tests.ProteinCRFTest
 

H

hasTrueFeature(Configuration, int) - Method in class com.pawjaw.classification.crf.lmcbt.points.DensePoint
 
hasTrueFeature(Configuration, int) - Method in interface com.pawjaw.classification.crf.lmcbt.points.Point
 
hasTrueFeature(Configuration, int) - Method in class com.pawjaw.classification.crf.lmcbt.points.SparsePoint
 
hasTrueFeature(Configuration, int, int, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
hasTrueFeature(Configuration, int, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
hasTrueFeature(int, int) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
HyphenTest - Class in com.pawjaw.classification.crf.lmcbt.tests
 
HyphenTest() - Constructor for class com.pawjaw.classification.crf.lmcbt.tests.HyphenTest
 

I

incrementPotential(int, int, double) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 
incrementPotential(int, int, double) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
indexExamples() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
initialize(int, Node) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Splitter
 
isLeaf() - Method in class com.pawjaw.classification.crf.lmcbt.trees.Node
 
isLogZero(double) - Static method in class com.pawjaw.classification.crf.lmcbt.CRFMath
 
isValid() - Method in class com.pawjaw.classification.crf.lmcbt.trees.Split
 

L

label_count_excluding_start_label - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Number of labels for elements in the data not including the start pseudo-label.
label_count_including_start_label - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Number of labels for elements in the data including the start pseudo-label.
LabeledSequenceDataReader - Class in com.pawjaw.classification.crf.lmcbt.readers
 
LabeledSequenceDataReader() - Constructor for class com.pawjaw.classification.crf.lmcbt.readers.LabeledSequenceDataReader
 
labelForwardBackward(ExpandedPointSequence) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Infer the labels of the given sequence using the Forward-Backward method (most likely individual point-wise labels ).
labelViterbi(ExpandedPointSequence) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Infer the labels of the given sequence using the Viterbi method (most likely overall label sequence).
length() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
length() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
LOGONE - Static variable in class com.pawjaw.classification.crf.lmcbt.CRFMath
 
LOGZERO - Static variable in class com.pawjaw.classification.crf.lmcbt.CRFMath
 

M

max_boosting_iterations - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Maximum number of boosted tree iterations.
max_leaves_per_tree - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Maximum leaves per boosted regression tree.
min_boosting_iterations - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Minimum number of boosting iterations regardless of validation data and min_relative_accuracy_improvement.
min_relative_accuracy_improvement - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Minimum relative accuracy improvement required to continue boosting when training includes validation data.
mse(Configuration, int, TrainingSequences, List<Integer>) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
mse(Configuration, int, TrainingSequences, double[]) - Static method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 

N

NetTalkTest - Class in com.pawjaw.classification.crf.lmcbt.tests
 
NetTalkTest() - Constructor for class com.pawjaw.classification.crf.lmcbt.tests.NetTalkTest
 
nextTrueFeature(Configuration, int) - Method in class com.pawjaw.classification.crf.lmcbt.points.DensePoint
 
nextTrueFeature(Configuration, int) - Method in interface com.pawjaw.classification.crf.lmcbt.points.Point
 
nextTrueFeature(Configuration, int) - Method in class com.pawjaw.classification.crf.lmcbt.points.SparsePoint
 
Node - Class in com.pawjaw.classification.crf.lmcbt.trees
 
Node(List<Integer>) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Node
 
Node(int[]) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Node
 
Node(double, List<Integer>) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Node
 
Node(double, int[]) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Node
 

O

output - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Node
 
output(Configuration, ExpandedPointSequence, int, double[]) - Static method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
output(Configuration, ExpandedPointSequence, int, int, double[]) - Static method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
output(TrainingSequences, int, double[]) - Static method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
output(Configuration, ExpandedPointSequence, int, int) - Method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 

P

parent - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Split
 
Point - Interface in com.pawjaw.classification.crf.lmcbt.points
 
point_features - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Number of features in each individual element (aka point).
printLeaves() - Method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
ProteinCRFTest - Class in com.pawjaw.classification.crf.lmcbt.tests
 
ProteinCRFTest() - Constructor for class com.pawjaw.classification.crf.lmcbt.tests.ProteinCRFTest
 

R

readFile(List<Point[]>, List<int[]>, File) - Method in class com.pawjaw.classification.crf.lmcbt.readers.LabeledSequenceDataReader
 
readPoints(List<Point[]>, List<int[]>, BufferedReader) - Method in class com.pawjaw.classification.crf.lmcbt.readers.CoNLL2000LabeledSequenceDataReader
 
readPoints(List<Point[]>, List<int[]>, BufferedReader) - Method in class com.pawjaw.classification.crf.lmcbt.readers.LabeledSequenceDataReader
 
readPoints(List<Point[]>, List<int[]>, BufferedReader) - Method in class com.pawjaw.classification.crf.lmcbt.readers.TreeCRFLabeledSequenceDataReader
 
regression_tree_shrinkage - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Shrinkage for regression tree smoothing.
report_training_progress - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
 
root - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
run(int, double) - Method in class com.pawjaw.classification.crf.lmcbt.CRFValidator
 
run() - Method in class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 

S

serialize() - Method in class com.pawjaw.classification.crf.lmcbt.CRFTrainer
Serialize trained CRF model to be written to disk and/or used for subsequent inference (labeling new data).
serialize() - Method in class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 
serialize() - Method in class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
set(Configuration, double[][][]) - Method in class com.pawjaw.classification.crf.lmcbt.CRFInference
Set the configuration options and the CRF model.
set(int, Point[], int[]) - Method in class com.pawjaw.classification.crf.lmcbt.CRFTrainer
Set a new training example.
set(Point[]) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.ExpandedPointSequence
 
set(int, Point[], int[]) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
setFeatures(boolean[]) - Method in class com.pawjaw.classification.crf.lmcbt.points.DensePoint
 
setFeatures(boolean[]) - Method in interface com.pawjaw.classification.crf.lmcbt.points.Point
 
setFeatures(boolean[]) - Method in class com.pawjaw.classification.crf.lmcbt.points.SparsePoint
 
setFeatures(int[]) - Method in class com.pawjaw.classification.crf.lmcbt.points.SparsePoint
 
setLabels(int[]) - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 
setUpdateable() - Method in class com.pawjaw.classification.crf.lmcbt.trees.BoostedTrees
 
SparsePoint - Class in com.pawjaw.classification.crf.lmcbt.points
 
SparsePoint() - Constructor for class com.pawjaw.classification.crf.lmcbt.points.SparsePoint
 
Split - Class in com.pawjaw.classification.crf.lmcbt.trees
 
Split(Node) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Split
 
split_feature - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Node
 
split_feature - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Split
 
Splitter - Class in com.pawjaw.classification.crf.lmcbt.trees
 
Splitter(Configuration, TrainingSequences) - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Splitter
 
splitter_threads - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Number of threads used in multithreaded sufficient statistics collection portion of node splitting during regression tree construction.

T

test(File) - Method in class com.pawjaw.classification.crf.lmcbt.tests.CRFTest
 
train() - Method in class com.pawjaw.classification.crf.lmcbt.CRFTrainer
Train a new CRF model with the number of boosting iterations specified in the configuration given to the constructor.
train(List<Point[]>, List<int[]>) - Method in class com.pawjaw.classification.crf.lmcbt.CRFTrainer
Train a new CRF model with the maximum number of boosting iterations specified in the configuration given to the constructor but with the option to stop early if the incremental improvement in Viterbi accuracy is less than the amount specified in the configuration.
TrainingSequence - Class in com.pawjaw.classification.crf.lmcbt.sequences
 
TrainingSequence() - Constructor for class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 
TrainingSequences - Class in com.pawjaw.classification.crf.lmcbt.sequences
 
TrainingSequences() - Constructor for class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
Tree - Class in com.pawjaw.classification.crf.lmcbt.trees
 
Tree() - Constructor for class com.pawjaw.classification.crf.lmcbt.trees.Tree
 
TreeCRFLabeledSequenceDataReader - Class in com.pawjaw.classification.crf.lmcbt.readers
 
TreeCRFLabeledSequenceDataReader() - Constructor for class com.pawjaw.classification.crf.lmcbt.readers.TreeCRFLabeledSequenceDataReader
 
true_child - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Node
 
true_child_output - Variable in class com.pawjaw.classification.crf.lmcbt.trees.Split
 
trueFeatureCount() - Method in class com.pawjaw.classification.crf.lmcbt.points.DensePoint
 
trueFeatureCount() - Method in interface com.pawjaw.classification.crf.lmcbt.points.Point
 
trueFeatureCount() - Method in class com.pawjaw.classification.crf.lmcbt.points.SparsePoint
 

U

update() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequences
 
updateForwardBackward() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 
updateTargets() - Method in class com.pawjaw.classification.crf.lmcbt.sequences.TrainingSequence
 

V

valid_window_offset - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
Offset into feature index where valid window features start.

W

window_radius - Variable in class com.pawjaw.classification.crf.lmcbt.configurations.Configuration
One side of the sliding window (e.g.

A B C D E F G H I L M N O P R S T U V W