Index (liblinear-java 1.7.1 API)

B C D E F G H I L M N P R S T V X Y

B

bias - Variable in class liblinear.Problem: If bias >= 0, we assume that one additional feature is added to the end of each data instance

copyOf(double[], int) - Static method in class liblinear.Linear: Java5 'backport' of Arrays.copyOf
copyOf(int[], int) - Static method in class liblinear.Linear: Java5 'backport' of Arrays.copyOf
crossValidation(Problem, Parameter, int, int[]) - Static method in class liblinear.Linear

enableDebugOutput() - Static method in class liblinear.Linear
equals(Object) - Method in class liblinear.FeatureNode
equals(Object) - Method in class liblinear.Model
equals(double[], double[]) - Static method in class liblinear.Model: don't use Arrays.equals(double[], double[]) here, cause 0.0 and -0.0 should be handled the same

getBias() - Method in class liblinear.Model
getC() - Method in class liblinear.Parameter
getEps() - Method in class liblinear.Parameter
getFeatureWeights() - Method in class liblinear.Model: The nr_feature*nr_class array w gives feature weights.
getFile() - Method in exception liblinear.InvalidInputDataException
getFilename() - Method in exception liblinear.InvalidInputDataException: Deprecated.
use InvalidInputDataException.getFile() instead
getLabels() - Method in class liblinear.Model
getLine() - Method in exception liblinear.InvalidInputDataException
getNrClass() - Method in class liblinear.Model
getNrFeature() - Method in class liblinear.Model
getNumWeights() - Method in class liblinear.Parameter: the number of weights
getSolverType() - Method in class liblinear.Parameter
getWeightLabels() - Method in class liblinear.Parameter
getWeights() - Method in class liblinear.Parameter

index - Variable in class liblinear.FeatureNode
InvalidInputDataException - Exception in liblinear
InvalidInputDataException(String, File, int) - Constructor for exception liblinear.InvalidInputDataException
InvalidInputDataException(String, String, int) - Constructor for exception liblinear.InvalidInputDataException
InvalidInputDataException(String, File, int, NumberFormatException) - Constructor for exception liblinear.InvalidInputDataException
InvalidInputDataException(String, String, int, NumberFormatException) - Constructor for exception liblinear.InvalidInputDataException
isProbabilityModel() - Method in class liblinear.Model

l - Variable in class liblinear.Problem: the number of training data
liblinear - package liblinear
Linear - Class in liblinear: Java port of liblinear 1.7
Linear() - Constructor for class liblinear.Linear
load(File) - Static method in class liblinear.Model: see Linear.loadModel(File)
load(Reader) - Static method in class liblinear.Model: see Linear.loadModel(Reader)
loadModel(Reader) - Static method in class liblinear.Linear: Loads the model from inputReader.
loadModel(File) - Static method in class liblinear.Linear: Loads the model from the file with ISO-8859-1 charset.

main(String[]) - Static method in class liblinear.Predict
main(String[]) - Static method in class liblinear.Train
Model - Class in liblinear: Model stores the model obtained from the training procedure
Model() - Constructor for class liblinear.Model

n - Variable in class liblinear.Problem: the number of features (including the bias feature if bias >= 0)

Parameter - Class in liblinear
Parameter(SolverType, double, double) - Constructor for class liblinear.Parameter
predict(Model, FeatureNode[]) - Static method in class liblinear.Linear
Predict - Class in liblinear
Predict() - Constructor for class liblinear.Predict
predictProbability(Model, FeatureNode[], double[]) - Static method in class liblinear.Linear
predictValues(Model, FeatureNode[], double[]) - Static method in class liblinear.Linear
Problem - Class in liblinear: Describes the problem
Problem() - Constructor for class liblinear.Problem

readFromFile(File, double) - Static method in class liblinear.Problem: see readProblem(File, double)
readProblem(File, double) - Static method in class liblinear.Train: reads a problem from LibSVM format
resetRandom() - Static method in class liblinear.Linear: resets the PRNG this is i.a.

save(File) - Method in class liblinear.Model: see Linear.saveModel(java.io.File, Model)
save(Writer) - Method in class liblinear.Model: see Linear.saveModel(Writer, Model)
saveModel(Writer, Model) - Static method in class liblinear.Linear: Writes the model to the modelOutput.
saveModel(File, Model) - Static method in class liblinear.Linear: Writes the model to the file with ISO-8859-1 charset.
setC(double) - Method in class liblinear.Parameter: C is the cost of constraints violation.
setDebugOutput(PrintStream) - Static method in class liblinear.Linear
setEps(double) - Method in class liblinear.Parameter: eps is the stopping criterion.
setSolverType(SolverType) - Method in class liblinear.Parameter
setWeights(double[], int[]) - Method in class liblinear.Parameter: nr_weight, weight_label, and weight are used to change the penalty for some classes (If the weight for a class is not changed, it is set to 1).
SolverType - Enum in liblinear

value - Variable in class liblinear.FeatureNode
valueOf(String) - Static method in enum liblinear.SolverType: Returns the enum constant of this type with the specified name.
values() - Static method in enum liblinear.SolverType: Returns an array containing the constants of this enum type, in the order they are declared.

y - Variable in class liblinear.Problem: an array containing the target values

B C D E F G H I L M N P R S T V X Y