R Packages that start with:
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 .
Functions
- add_missinglabels_mar()
- adjacency_knn()
- BaseClassifier()
- c.CrossValidation()
- clapply()
- cov_ml()
- CrossValidationSSL()
- decisionvalues-methods()
- df_to_matrices()
- diabetes()
- EMLeastSquaresClassifier()
- EMLinearDiscriminantClassifier()
- EMNearestMeanClassifier()
- EntropyRegularizedLogisticRegression()
- evaluation-measures()
- find_a_violated_label()
- gaussian_kernel()
- generate2ClassGaussian()
- generateABA()
- generateCrescentMoon()
- generateFourClusters()
- generateParallelPlanes()
- generateSlicedCookie()
- generateSpirals()
- generateTwoCircles()
- geom_classifier()
- geom_linearclassifier()
- GRFClassifier()
- harmonic_function()
- ICLeastSquaresClassifier()
- ICLinearDiscriminantClassifier()
- KernelICLeastSquaresClassifier()
- KernelLeastSquaresClassifier()
- LaplacianKernelLeastSquaresClassifier()
- LaplacianSVM()
- LearningCurveSSL()
- LeastSquaresClassifier()
- LinearDiscriminantClassifier()
- LinearSVM-class()
- LinearSVM()
- LinearTSVM()
- line_coefficients-methods()
- localDescent()
- LogisticLossClassifier-class()
- LogisticLossClassifier()
- LogisticRegression()
- LogisticRegressionFast()
- logsumexp()
- loss-methods()
- losslogsum-methods()
- losspart-methods()
- MajorityClassClassifier()
- MCLinearDiscriminantClassifier()
- MCNearestMeanClassifier()
- MCPLDA()
- minimaxlda()
- missing_labels()
- NearestMeanClassifier()
- plot.CrossValidation()
- plot.LearningCurve()
- posterior-methods()
- predict-scaleMatrix-method()
- PreProcessing()
- PreProcessingPredict()
- print.CrossValidation()
- print.LearningCurve()
- projection_simplex()
- QuadraticDiscriminantClassifier()
- responsibilities-methods()
- rssl-formatting()
- rssl-predict()
- RSSL()
- S4VM-class()
- S4VM()
- sample_k_per_level()
- scaleMatrix()
- SelfLearning()
- solve_svm()
- split_dataset_ssl()
- split_random()
- SSLDataFrameToMatrices()
- stat_classifier()
- stderror()
- summary.CrossValidation()
- svdinv()
- svdinvsqrtm()
- svdsqrtm()
- SVM()
- svmlin()
- svmlin_example()
- svmproblem()
- testdata()
- threshold()
- true_labels()
- TSVM()
- USMLeastSquaresClassifier-class()
- USMLeastSquaresClassifier()
- wdbc()
- WellSVM()
- wellsvm_direct()
- WellSVM_SSL()
- WellSVM_supervised()
- wlda()
- wlda_error()
- wlda_loglik()
R Codes
- Classifier.R
- CrossValidation.R
- EMLeastSquaresClassifier.R
- EMLinearDiscriminantClassifier.R
- EMNearestMeanClassifier.R
- EntropyRegularizedLogisticRegression.R
- Evaluate.R
- GenerateSSLData.R
- Generics.R
- GRFClassifier.R
- HelperFunctions.R
- ICLeastSquaresClassifier.R
- ICLinearDiscriminantClassifier.R
- KernelICLeastSquaresClassifier.R
- KernelLeastSquaresClassifier.R
- LaplacianKernelLeastSquaresClassifier.R
- LaplacianSVM.R
- LearningCurve.R
- LeastSquaresClassifier.R
- LinearDiscriminantClassifier.R
- LinearSVM.R
- LogisticLossClassifier.R
- LogisticRegression.R
- MajorityClassClassifier.R
- MCLinearDiscriminantClassifier.R
- MCNearestMeanClassifier.R
- MCPLDA.R
- Measures.R
- NearestMeanClassifier.R
- NormalBasedClassifier.R
- Plotting.R
- QuadraticDiscriminantClassifier.R
- RcppExports.R
- RSSL.R
- S4VM.R
- scaleMatrix.R
- SelfLearning.R
- SVM.R
- svmd.R
- svmlin.R
- testdata-data.R
- TSVM.R
- USMLeastSquaresClassifier.R
- WellSVM.R
Selected R package: RSSL
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