Man pages for jkrijthe/RSSL
Implementations of Semi-Supervised Learning Approaches for Classification

add_missinglabels_marThrow out labels at random
adjacency_knnCalculate knn adjacency matrix
BaseClassifierClassifier used for enabling shared documenting of parameters
c.CrossValidationMerge result of cross-validation runs on single datasets into...
clapplyUse mclapply conditional on not being in RStudio
cov_mlBiased (maximum likelihood) estimate of the covariance matrix
CrossValidationSSLCross-validation in semi-supervised setting
decisionvalues-methodsDecision values returned by a classifier for a set of objects
df_to_matricesConvert data.frame with missing labels to matrices
diabetesdiabetes data for unit testing
EMLeastSquaresClassifierAn Expectation Maximization like approach to Semi-Supervised...
EMLinearDiscriminantClassifierSemi-Supervised Linear Discriminant Analysis using...
EMNearestMeanClassifierSemi-Supervised Nearest Mean Classifier using Expectation...
EntropyRegularizedLogisticRegressionEntropy Regularized Logistic Regression
evaluation-measuresPerformance measures used in classifier evaluation
find_a_violated_labelFind a violated label
gaussian_kernelcalculated the guassian kernel matrix
Generate2ClassGaussianGenerate data from 2 Gaussian distributed classes
generateABAGenerate data from 2 alternating classes
generateCrescentMoonGenerate Crescent Moon dataset
GenerateFourClustersGenerate Four Clusters dataset
generateParallelPlanesGenerate Parallel planes
GenerateSlicedCookieGenerate Sliced Cookie dataset
generateSpiralsGenerate Intersecting Spirals
generateTwoCirclesGenerate data from 2 circles
geom_classifierPlot RSSL classifier boundary (deprecated)
geom_linearclassifierPlot linear RSSL classifier boundary
GRFClassifierLabel propagation using Gaussian Random Fields and Harmonic...
harmonic_functionDirect R Translation of Xiaojin Zhu's Matlab code to...
ICLeastSquaresClassifierImplicitly Constrained Least Squares Classifier
ICLinearDiscriminantClassifierImplicitly Constrained Semi-supervised Linear Discriminant...
KernelICLeastSquaresClassifierKernelized Implicitly Constrained Least Squares...
KernelLeastSquaresClassifierKernelized Least Squares Classifier
LaplacianKernelLeastSquaresClassifierLaplacian Regularized Least Squares Classifier
LaplacianSVMLaplacian SVM classifier
LearningCurveSSLCompute Semi-Supervised Learning Curve
LeastSquaresClassifierLeast Squares Classifier
LinearDiscriminantClassifierLinear Discriminant Classifier
LinearSVMLinear SVM Classifier
LinearSVM-classLinearSVM Class
LinearTSVMLinear CCCP Transductive SVM classifier
line_coefficients-methodsLoss of a classifier or regression function
localDescentLocal descent
LogisticLossClassifierLogistic Loss Classifier
LogisticLossClassifier-classLogisticLossClassifier
LogisticRegression(Regularized) Logistic Regression implementation
LogisticRegressionFastLogistic Regression implementation that uses R's glm
logsumexpNumerically more stable way to calculate log sum exp
losslogsum-methodsLogsumLoss of a classifier or regression function
loss-methodsLoss of a classifier or regression function
losspart-methodsLoss of a classifier or regression function evaluated on...
MajorityClassClassifierMajority Class Classifier
MCLinearDiscriminantClassifierMoment Constrained Semi-supervised Linear Discriminant...
MCNearestMeanClassifierMoment Constrained Semi-supervised Nearest Mean Classifier
MCPLDAMaximum Contrastive Pessimistic Likelihood Estimation for...
minimaxldaImplements weighted likelihood estimation for LDA
missing_labelsAccess the true labels for the objects with missing labels...
NearestMeanClassifierNearest Mean Classifier
plot.CrossValidationPlot CrossValidation object
plot.LearningCurvePlot LearningCurve object
posterior-methodsClass Posteriors of a classifier
predict-scaleMatrix-methodPredict for matrix scaling inspired by stdize from the PLS...
PreProcessingPreprocess the input to a classification function
PreProcessingPredictPreprocess the input for a new set of test objects for...
print.CrossValidationPrint CrossValidation object
print.LearningCurvePrint LearningCurve object
projection_simplexproject an n-dim vector y to the simplex Dn
QuadraticDiscriminantClassifierQuadratic Discriminant Classifier
responsibilities-methodsResponsilibities assigned to the unlabeled objects
RSSLR Semi-Supervised Learning Package
rssl-formattingShow RSSL classifier
rssl-predictPredict using RSSL classifier
S4VMSafe Semi-supervised Support Vector Machine (S4VM)
S4VM-classLinearSVM Class
sample_k_per_levelSample k indices per levels from a factor
scaleMatrixMatrix centering and scaling
SelfLearningSelf-Learning approach to Semi-supervised Learning
solve_svmSVM solve.QP implementation
split_dataset_sslCreate Train, Test and Unlabeled Set
split_randomRandomly split dataset in multiple parts
SSLDataFrameToMatricesConvert data.frame to matrices for semi-supervised learners
stat_classifierPlot RSSL classifier boundaries
stderrorCalculate the standard error of the mean from a vector of...
summary.CrossValidationSummary of Crossvalidation results
svdinvInverse of a matrix using the singular value decomposition
svdinvsqrtmTaking the inverse of the square root of the matrix using the...
svdsqrtmTaking the square root of a matrix using the singular value...
SVMSVM Classifier
svmlinsvmlin implementation by Sindhwani & Keerthi (2006)
svmlin_exampleTest data from the svmlin implementation
svmproblemTrain SVM
testdataExample semi-supervised problem
thresholdRefine the prediction to satisfy the balance constraint
true_labelsAccess the true labels when they are stored as an attribute...
TSVMTransductive SVM classifier using the convex concave...
USMLeastSquaresClassifierUpdated Second Moment Least Squares Classifier
USMLeastSquaresClassifier-classUSMLeastSquaresClassifier
wdbcwdbc data for unit testing
WellSVMWellSVM for Semi-superivsed Learning
wellsvm_directwellsvm implements the wellsvm algorithm as shown in [1].
WellSVM_SSLConvex relaxation of S3VM by label generation
WellSVM_supervisedA degenerated version of WellSVM where the labels are...
wldaImplements weighted likelihood estimation for LDA
wlda_errorMeasures the expected error of the LDA model defined by m, p,...
wlda_loglikMeasures the expected log-likelihood of the LDA model defined...
jkrijthe/RSSL documentation built on Aug. 29, 2018, 7:53 a.m.