Index (Vowpal Wabbit Wrapper 1.0.0-SNAPSHOT API)

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

A

AccuracyValidation - Class in com.indeed.vw.wrapper.progvalidation: correct predictions / total
AccuracyValidation(double) - Constructor for class com.indeed.vw.wrapper.progvalidation.AccuracyValidation
active() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: enable active learning
activeCover() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: enable active learning with cover
adaptive() - Method in interface com.indeed.vw.wrapper.api.parameters.UpdatesOptions: use adaptive, individual learning rates.
adaptive() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use adaptive, individual learning rates.
addCategoricalFeature(Object) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder.NamespaceBuilder: Add a categorical feature to this namespace (e.g.
addCategoricalFeature(String, Object) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder.NamespaceBuilder: Add a categorical feature to this namespace (e.g.
addNumericalFeature(String, double) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder.NamespaceBuilder: Add numerical feature to this namespace (e.g.
addTextAsFeatures(String) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder.NamespaceBuilder: Add text feature to this namespace (e.g.
advancedBuilder() - Static method in class com.indeed.vw.wrapper.api.VowpalWabbit: Create advanced builder for Vowpal Wabbit learner
affix(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: generate prefixes/suffixes of features; argument '+2a,-3b,+1'
ANY_NAMESPACE - Static variable in class com.indeed.vw.wrapper.api.VowpalWabbit: Pass this constant as namespace parameter if you want to set some feature engineering for all namespaces.
auditRegressor(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: stores feature names and their regressor values.
autolink(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: create link function with polynomial d

B

bfgs() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use bfgs optimization
biggerIsBetter() - Method in class com.indeed.vw.wrapper.progvalidation.ProgressiveValidation
binary() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: report loss as binary classification on -1,1
binaryLabel(boolean) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: This is convenient method to set label when you use logistic or hinge loss you.
bitPrecision(int) - Method in interface com.indeed.vw.wrapper.api.parameters.OptionToExchangeRAMForQuality: number of bits in the feature table.
bitPrecision(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: number of bits in the feature table.
boosting(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Online boosting with <N> weak learners
bootstrap(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: k-way bootstrap by online importance resampling
builder() - Static method in class com.indeed.vw.wrapper.api.VowpalWabbit: Create builder for Vowpal Wabbit learner
buildFloatArrayLearner() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder
buildFloatLearner() - Method in interface com.indeed.vw.wrapper.api.parameters.SGDVowpalWabbitBuilder: Build learner
buildFloatLearner() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder
buildIntArrayLearner() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder
buildIntLearner() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder

C

cache() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use a cache.
cacheFile(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: The location(s) of cacheFile.
cb(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use contextual bandit learning with <k> costs
cbAdf() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Do Contextual Bandit learning with multiline action dependent features.
cbExplore(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Online explore-exploit for a <k> action contextual bandit problem
cbExploreAdf() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Online explore-exploit for a contextual bandit problem with multiline action dependent features
cbify(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Convert multiclass on <k> classes into a contextual bandit problem
com.indeed.vw.wrapper.api - package com.indeed.vw.wrapper.api: This package contains OOP api for wowpal wabbit jni wrapper.
com.indeed.vw.wrapper.api.example - package com.indeed.vw.wrapper.api.example: API for creating vowpal wabbit examples string.
com.indeed.vw.wrapper.api.parameters - package com.indeed.vw.wrapper.api.parameters: API for creating vowpal wabbit parameters string.
com.indeed.vw.wrapper.progvalidation - package com.indeed.vw.wrapper.progvalidation: Package with implementation of multiple quality metrics, calculated in progressive validation style.
compressed() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use gzip format whenever possible.
confidence() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Get confidence for binary predictions
confidenceAfterTraining() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Confidence after training
conjugateGradient() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use conjugate gradient based optimization
constant(double) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: Set initial value of constant
constant(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Set initial value of constant
countNumberOfNonZeroWeights(Path) - Static method in class com.indeed.vw.wrapper.api.parameters.VWUtility: Read vowpal wabbit model and count number of non-zero weights in it
create() - Static method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Create method
createAndDoNotCheckNamespace() - Static method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: By default each namespace should start with unique character.
createNamespace(String) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder
csoaa(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: One-against-all multiclass with <k> costs
csoaaLdf(VowpalWabbit.LDF) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use one-against-all multiclass learning with label dependent features.
cubic(String, String, String) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: Create and use cubic features
cubic(String, String, String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Create and use cubic features

D

DebuggingOptions - Interface in com.indeed.vw.wrapper.api.parameters: Options for debugging model.
decayLearningRate(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Set Decay factor for learning_rate between passes
dictionary(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: read a dictionary for additional features (arg either 'x:file' or just 'file')
dictionaryPath(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: look in this directory for dictionaries; defaults to current directory or env{PATH}

E

earlyTerminate(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Specify the number of passes tolerated when holdout loss doesn't decrease before early termination, default is 3
ect(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Error correcting tournament with <k> labels
ExampleBuilder - Class in com.indeed.vw.wrapper.api.example: OOP wrapper for vowpal-wabbit input format.
ExampleBuilder.NamespaceBuilder - Class in com.indeed.vw.wrapper.api.example: Builder for namespace.
exampleImportance(double) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Importance (importance weight) is a non-negative real number indicating the relative importance
examples(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: number of examples to parse
examplesCount - Variable in class com.indeed.vw.wrapper.progvalidation.Metrics
exampleTag(String) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Tag is a string that serves as an identifier for the example.

F

FeatureEngineeringFunctions - Interface in com.indeed.vw.wrapper.api.parameters: Feature engineering functions.
featureLimit(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: limit to N features.
featureMask(Path) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureSelectionOptions: Use existing regressor to determine which parameters may be updated.
featureMask(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use existing regressor to determine which parameters may be updated.
FeatureSelectionOptions - Interface in com.indeed.vw.wrapper.api.parameters: Feature selection options.
finalRegressor(Path) - Method in interface com.indeed.vw.wrapper.api.parameters.OptionsToSaveAndLoadModel: Final regressor
finalRegressor(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Final regressor
FOneScoreValidation - Class in com.indeed.vw.wrapper.progvalidation: See https://www.kaggle.com/wiki/MeanFScore
FOneScoreValidation(double) - Constructor for class com.indeed.vw.wrapper.progvalidation.FOneScoreValidation
ftrl() - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureSelectionOptions: FTRL: Follow the Proximal Regularized Leader
ftrl() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: FTRL: Follow the Proximal Regularized Leader

G

getCommand() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Get command option will be passes to VWLearner
getLabelAsDouble() - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Get example label
getMetric() - Method in class com.indeed.vw.wrapper.progvalidation.ProgressiveValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.AccuracyValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.FOneScoreValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.LogLossValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.MAEValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.MAPEValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.PrecisionValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.ProgressiveValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.RecallValidation
getScore() - Method in class com.indeed.vw.wrapper.progvalidation.RMSEValidation
getScores() - Method in class com.indeed.vw.wrapper.progvalidation.Metrics
getTag() - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Get example tag

H

hash(VowpalWabbit.Hash) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: how to hash the features.
holdoutAfter(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: holdout after n training examples, default off (disables holdoutPeriod)
holdoutPeriod(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: holdout period for test only, default 10

I

id(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: User supplied ID embedded into the final regressor
ignore(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: ignore namespace <arg>
initialPassLength(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: initial number of examples per pass
initialRegressor(Path) - Method in interface com.indeed.vw.wrapper.api.parameters.OptionsToSaveAndLoadModel: Initial regressor(s)
initialRegressor(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Initial regressor(s)
initialT(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: initial t value
initialWeight(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Set all weights to an initial value of arg.
inputFeatureRegularizer(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Per feature regularization input file
interact(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Put weights on feature products from namespaces <n1> and <n2>
interactions(String...) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Create feature interactions of any level between namespaces.
invariant() - Method in interface com.indeed.vw.wrapper.api.parameters.UpdatesOptions: use safe/importance aware updates.
invariant() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use safe/importance aware updates.

K

keep(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: keep namespace <arg>
killCache() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: do not reuse existing cache: create a new one always
ksvm() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: kernel svm

L

l1(double) - Method in interface com.indeed.vw.wrapper.api.parameters.RegularizationOptions: l_1 lambda
l1(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: l_1 lambda
l2(double) - Method in interface com.indeed.vw.wrapper.api.parameters.RegularizationOptions: l_2 lambda
l2(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: l_2 lambda
label(double) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Label is the real number that we are trying to predict for this example.
lda(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Run lda with <int> topics
learningRate(double) - Method in interface com.indeed.vw.wrapper.api.parameters.UpdatesOptions: Set learning rate
learningRate(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Set learning rate
leaveDuplicateInteractions() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Don't remove interactions with duplicate combinations of namespaces.
Link - Enum in com.indeed.vw.wrapper.api.parameters: Function applied on linear prediction.
link(Link) - Method in interface com.indeed.vw.wrapper.api.parameters.LinkAndLossOptions: Specify the link function: identity, logistic, glf1 or poisson (=identity)
link(Link) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Specify the link function: identity, logistic, glf1 or poisson (=identity)
LinkAndLossOptions - Interface in com.indeed.vw.wrapper.api.parameters: Link and Loss options.
LogLossValidation - Class in com.indeed.vw.wrapper.progvalidation: See https://www.kaggle.com/wiki/LogarithmicLoss
LogLossValidation() - Constructor for class com.indeed.vw.wrapper.progvalidation.LogLossValidation
logMulti(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use online tree for multiclass
Loss - Enum in com.indeed.vw.wrapper.api.parameters: Function that measures the discrepancy between the algorithm's prediction and the desired output.
lossFunction(Loss) - Method in interface com.indeed.vw.wrapper.api.parameters.LinkAndLossOptions: Specify the loss function to be used, uses squared by default.
lossFunction(Loss) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Specify the loss function to be used, uses squared by default.
lrq(String, String, int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use low rank quadratic features
lrqdropout() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use dropout training for low rank quadratic features
lrqfa(String, String, int) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: use low rank quadratic feature-aware weights
lrqfa(String, String, int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use low rank quadratic features with field aware weights

M

MAEValidation - Class in com.indeed.vw.wrapper.progvalidation: https://www.kaggle.com/wiki/MeanAbsoluteError
MAEValidation() - Constructor for class com.indeed.vw.wrapper.progvalidation.MAEValidation
MAPEValidation - Class in com.indeed.vw.wrapper.progvalidation: See https://en.wikipedia.org/wiki/Mean_absolute_percentage_error
MAPEValidation() - Constructor for class com.indeed.vw.wrapper.progvalidation.MAPEValidation
maxPrediction(double) - Method in interface com.indeed.vw.wrapper.api.parameters.PredictionBoundaryOptions: Largest prediction to output
maxPrediction(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Largest prediction to output
Metrics - Class in com.indeed.vw.wrapper.progvalidation: Class that wraps multiple metrics and prints their scores every n examples.
Metrics(int, ProgressiveValidation...) - Constructor for class com.indeed.vw.wrapper.progvalidation.Metrics
minPrediction(double) - Method in interface com.indeed.vw.wrapper.api.parameters.PredictionBoundaryOptions: Smallest prediction to output
minPrediction(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Smallest prediction to output
MiscOptions - Interface in com.indeed.vw.wrapper.api.parameters: Misc options
multilabelOaa(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: One-against-all multilabel with <k> labels
multiworldTest(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Evaluate features as a policies

N

namedLabels(String...) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use names for labels (multiclass, etc.) rather than integers, argument specified all possible labels, comma-sep,
namespaceWeight(double) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder.NamespaceBuilder: Namespace weight acts as a global scaling of all the values of the features in this namespace.
newMf(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: rank for reduction-based matrix factorization
ngram(String, int) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: Generate N grams.
ngram(String, int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Generate N grams.
nn(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Sigmoidal feedforward network with <k> hidden units
noconstant() - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: Don't add a constant feature
noconstant() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Don't add a constant feature
noop() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: do no learning
normalized() - Method in interface com.indeed.vw.wrapper.api.parameters.UpdatesOptions: use per feature normalized updates
normalized() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use per feature normalized updates

O

oaa(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: One-against-all multiclass with <k> labels
ojaNewton() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Online Newton with Oja's Sketch
omitLabel() - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: If the label is omitted, then no training will be performed with the corresponding example,
OptionsToSaveAndLoadModel - Interface in com.indeed.vw.wrapper.api.parameters: Options to save and load model.
OptionToExchangeRAMForQuality - Interface in com.indeed.vw.wrapper.api.parameters: Option to exchange RAM for some quality.
outputFeatureRegularizerBinary(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Per feature regularization output file
outputFeatureRegularizerText(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Per feature regularization output file, in text

P

parameter(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Add vowpal wabit argument
passes(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Number of Training Passes
permutations() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use permutations instead of combinations for feature interactions of same namespace.
pistol() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: FTRL: Parameter-free Stochastic Learning
powerT(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: t power value
PrecisionValidation - Class in com.indeed.vw.wrapper.progvalidation: true positives / (true positives + false positives)
PrecisionValidation(double) - Constructor for class com.indeed.vw.wrapper.progvalidation.PrecisionValidation
PredictionBoundaryOptions - Interface in com.indeed.vw.wrapper.api.parameters: Prediction boundary options
printScores() - Method in class com.indeed.vw.wrapper.progvalidation.Metrics
probabilityClassificationMetrics(int) - Static method in class com.indeed.vw.wrapper.progvalidation.Metrics: Factory method for classification probability metrics
ProgressiveValidation - Class in com.indeed.vw.wrapper.progvalidation: Base class for all metrics
ProgressiveValidation(String, boolean) - Constructor for class com.indeed.vw.wrapper.progvalidation.ProgressiveValidation

Q

quadratic(String, String) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: Create and use quadratic features
quadratic(String, String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Create and use quadratic features
quantileTau(double) - Method in interface com.indeed.vw.wrapper.api.parameters.LinkAndLossOptions: Parameter \tau associated with Quantile loss.
quantileTau(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Parameter \tau associated with Quantile loss.

R

randomSeed(int) - Method in interface com.indeed.vw.wrapper.api.parameters.MiscOptions: Seed random number generator
randomSeed(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: seed random number generator
randomWeights(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: make initial weights random
rank(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: rank for matrix factorization.
readableModel(Path) - Method in interface com.indeed.vw.wrapper.api.parameters.DebuggingOptions: Output human-readable final regressor with numeric features
readableModel(Path) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Output human-readable final regressor with numeric features
recallTree(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use online tree for multiclass
RecallValidation - Class in com.indeed.vw.wrapper.progvalidation: true positives / (true positives + false negatives)
RecallValidation(double) - Constructor for class com.indeed.vw.wrapper.progvalidation.RecallValidation
redefine(String, String...) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: redefine namespaces beginning with characters of string S as namespace N.
regressionMetrics(int) - Static method in class com.indeed.vw.wrapper.progvalidation.Metrics: Factory method for regression metrics
RegularizationOptions - Interface in com.indeed.vw.wrapper.api.parameters: Regularization options.
replayB(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use experience replay at a specified level
replayC(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use experience replay at a specified level
replayM(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use experience replay at a specified level
ringSize(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: size of example ring buffer
RMSEValidation - Class in com.indeed.vw.wrapper.progvalidation: See https://www.kaggle.com/wiki/RootMeanSquaredError
RMSEValidation() - Constructor for class com.indeed.vw.wrapper.progvalidation.RMSEValidation

S

savePerPass() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Save the model after every pass over data
saveResume() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: save extra state so learning can be resumed later with new data
search(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use learning to search, argument=maximum action id or 0 for LDF
setLabelString(String) - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: You can use it to pass labels for multi-class classification.
sgd() - Method in interface com.indeed.vw.wrapper.api.parameters.UpdatesOptions: use regular stochastic gradient descent update.
sgd() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use regular stochastic gradient descent update.
SGDVowpalWabbitBuilder - Interface in com.indeed.vw.wrapper.api.parameters: This interface specify small subset of available options with some additional documentation.
skips(String, int) - Method in interface com.indeed.vw.wrapper.api.parameters.FeatureEngineeringFunctions: Generate skips in N grams.
skips(String, int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Generate skips in N grams.
sortFeatures() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: turn this on to disregard order in which features have been defined.
sparseL2(double) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use per feature normalized updates (=0)
spelling(String) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: compute spelling features for a give namespace (use '_' for default namespace)
stagePoly() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: use stagewise polynomial feature learning
svrg() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Streaming Stochastic Variance Reduced Gradient

T

testonly() - Method in interface com.indeed.vw.wrapper.api.parameters.MiscOptions: Ignore label information and just test
testonly() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Ignore label information and just test
top(int) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: top k recommendation
toString() - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder.NamespaceBuilder
toString() - Method in class com.indeed.vw.wrapper.api.example.ExampleBuilder: Build vowpal wabbit example string
toString() - Method in class com.indeed.vw.wrapper.progvalidation.ProgressiveValidation

U

updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.AccuracyValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.FOneScoreValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.LogLossValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.MAEValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.MAPEValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.Metrics
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.PrecisionValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.ProgressiveValidation: update score
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.RecallValidation
updateScore(double, double) - Method in class com.indeed.vw.wrapper.progvalidation.RMSEValidation
UpdatesOptions - Interface in com.indeed.vw.wrapper.api.parameters: Updates options.

V

valueOf(String) - Static method in enum com.indeed.vw.wrapper.api.parameters.Link: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.indeed.vw.wrapper.api.parameters.Loss: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.indeed.vw.wrapper.api.VowpalWabbit.Hash: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.indeed.vw.wrapper.api.VowpalWabbit.LDF: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.indeed.vw.wrapper.api.parameters.Link: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.indeed.vw.wrapper.api.parameters.Loss: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.indeed.vw.wrapper.api.VowpalWabbit.Hash: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.indeed.vw.wrapper.api.VowpalWabbit.LDF: Returns an array containing the constants of this enum type, in the order they are declared.
verbose() - Method in interface com.indeed.vw.wrapper.api.parameters.DebuggingOptions: Make vowpal wabbit writing debug and performance information to stderr
verbose() - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Make vowpal wabbit writing debug and performance information to stderr
VowpalWabbit - Class in com.indeed.vw.wrapper.api: This class contains factory methods for VWLearner builder object.
VowpalWabbit.Builder - Class in com.indeed.vw.wrapper.api: Builder for Vowpal Wabbit learner.
VowpalWabbit.Hash - Enum in com.indeed.vw.wrapper.api
VowpalWabbit.LDF - Enum in com.indeed.vw.wrapper.api
VWUtility - Class in com.indeed.vw.wrapper.api.parameters: Set of useful methods

W

wapLdf(VowpalWabbit.LDF) - Method in class com.indeed.vw.wrapper.api.VowpalWabbit.Builder: Use weighted all-pairs multiclass learning with label dependent features.

Z

zeroOneClassificationMetrics(int, double) - Static method in class com.indeed.vw.wrapper.progvalidation.Metrics: Factory method for classification 1-0 metrics

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