Man pages for SSLR
Semi-Supervised Classification, Regression and Clustering Methods

abaloneAbalone
best_splitAn S4 method to best split
best_split-DecisionTreeClassifier-methodBest Split function
breastBreast
calculate_giniFunction calculate gini
cclsSSLRGeneral Interface Pairwise Constrained Clustering By Local...
check_valueCheck value in leaf
check_xy_interfaceCeck interface x y
ckmeansSSLRGeneral Interface COP K-Means Algorithm
cluster_labelsGet labels of clusters
cluster_labels.model_sslr_fittedCluster labels
coBCGeneral Interface for CoBC model
coBCCombineCombining the hypothesis
coBCGCoBC generic method
coBCRegGeneral Interface coBCReg model
coBCRegGGeneric Interface coBCReg model
coffeeTime series data set
constrained_kmeansGeneral Interface Constrained KMeans
COREGGeneral Interface for COREG model
DecisionTreeClassifier-classClass DecisionTreeClassifier
democraticGeneral Interface for Democratic model
democraticCombineCombining the hypothesis of the classifiers
democraticGDemocratic generic method
EMLeastSquaresClassifierSSLRGeneral Interface for EMLeastSquaresClassifier model
EMNearestMeanClassifierSSLRGeneral Interface for EMNearestMeanClassifier model
EntropyRegularizedLogisticRegressionSSLRGeneral Interface for EntropyRegularizedLogisticRegression...
fit_decision_treeAn S4 method to fit decision tree.
fit_decision_tree-DecisionTreeClassifier-methodFit decision tree
fit.model_sslrFit with formula and data
fit_random_forest-RandomForestSemisupervised-methodFit Random Forest
fit_x_ufit_x_u object
fit_x_u.model_sslrFit with x , y (labeled data) and unlabeled data (x_U)
fit_xy.model_sslrFit with x and y
get_centersGet centers model of clustering
get_centers.model_sslr_fittedCluster labels
get_class_max_probGet most frequented
get_class_mean_probGet mean probability over all trees as prob vector
get_functionFUNCTION TO GET FUNCTION METHOD
get_function_genericFUNCTION TO GET FUNCTION METHOD
get_levels_categoricFunction to get gtoup from gini index
get_most_frequentedGet most frequented
get_value_meanGet value mean
get_x_yFUNCTION TO GET REAL X AND Y WITH FORMULA AND DATA
gini_or_varianceGini or Variance by column
gini_probFunction to compute Gini index
GRFClassifierSSLRGeneral Interface for GRFClassifier (Label propagation using...
grow_treeAn S4 method to grow tree.
grow_tree-DecisionTreeClassifier-methodFunction grow tree
knn_regressionknn_regression
LaplacianSVMSSLRGeneral Interface for LaplacianSVM model
lcvqeSSLRGeneral LCVQE Algorithm
LinearTSVMSSLRGeneral Interface for LinearTSVM model
load_conclustLoad conclust
load_parsnipLoad parsnip
load_RANNLoad parsnip
load_RSSLLoad RSSL
MCNearestMeanClassifierSSLRGeneral Interface for MCNearestMeanClassifier (Moment...
mpckmSSLRGeneral Interface MPC K-Means Algorithm
newDecisionTreeFunction to create DecisionTree
Node-classClass Node for Decision Tree
nullOrNumericOrCharacter-classAn S4 class to represent a class with more types values:...
oneNN1-NN supervised classifier builder
predict.coBCPredictions of the coBC method
predict.COREGPredictions of the COREG method
predict-DecisionTreeClassifier-methodFunction to predict inputs in Decision Tree
predict.democraticPredictions of the Democratic method
predict.EMLeastSquaresClassifierSSLRPredict EMLeastSquaresClassifierSSLR
predict.EMNearestMeanClassifierSSLRPredict EMNearestMeanClassifierSSLR
predict.EntropyRegularizedLogisticRegressionSSLRPredict EntropyRegularizedLogisticRegressionSSLR
predict_inputsAn S4 method to predict inputs.
predict_inputs-DecisionTreeClassifier-methodPredict inputs Decision Tree
predictionspredictions unlabeled data
predictions.GRFClassifierSSLRpredictions unlabeled data
predictions.model_sslr_fittedPredictions of unlabeled data
predict.LaplacianSVMSSLRPredict LaplacianSVMSSLR
predict.LinearTSVMSSLRPredict LinearTSVMSSLR
predict.MCNearestMeanClassifierSSLRPredict MCNearestMeanClassifierSSLR
predict.model_sslr_fittedPredictions of model_sslr_fitted class
predict.OneNNModel Predictions
predict.RandomForestSemisupervised_fittedPredictions of the SSLRDecisionTree_fitted method
predict-RandomForestSemisupervised-methodFunction to predict inputs in Decision Tree
predict.selfTrainingPredictions of the Self-training method
predict.setredPredictions of the SETRED method
predict.snnrcePredictions of the SNNRCE method
predict.snnrceGPredictions of the SNNRCE method
predict.SSLRDecisionTree_fittedPredictions of the SSLRDecisionTree_fitted method
predict.triTrainingPredictions of the Tri-training method
predict.TSVMSSLRPredict TSVMSSLR
predict.USMLeastSquaresClassifierSSLRPredict USMLeastSquaresClassifierSSLR
predict.WellSVMSSLRPredict WellSVMSSLR
print.model_sslrPrint model SSLR
RandomForestSemisupervised-classClass Random Forest
reexportsObjects exported from other packages
seeded_kmeansGeneral Interface Seeded KMeans
selfTrainingGeneral Interface for Self-training model
selfTrainingGSelf-training generic method
setredGeneral Interface for SETRED model
setredGSETRED generic method
snnrceGeneral Interface for SNNRCE model
SSLRDecisionTreeGeneral Interface Decision Tree model
SSLRRandomForestGeneral Interface Random Forest model
train_genericFUNCTION TO TRAIN GENERIC MODEL
triTrainingGeneral Interface for Tri-training model
triTrainingCombineCombining the hypothesis
triTrainingGTri-training generic method
TSVMSSLRGeneral Interface for TSVM (Transductive SVM classifier using...
USMLeastSquaresClassifierSSLRGeneral Interface for USMLeastSquaresClassifier (Updated...
WellSVMSSLRGeneral Interface for WellSVM model
wineWine recognition data
SSLR documentation built on July 22, 2021, 9:08 a.m.