Semi-Supervised Classification, Regression and Clustering Methods

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Documentation for package ‘SSLR’ version 0.9.3.3

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A B C D E F G K L M N O P R S T U W

-- A --

abalone Abalone

-- B --

best_split An S4 method to best split
best_split-method Best Split function
breast Breast

-- C --

calculate_gini Function calculate gini
cclsSSLR General Interface Pairwise Constrained Clustering By Local Search
check_value Check value in leaf
check_xy_interface Ceck interface x y
ckmeansSSLR General Interface COP K-Means Algorithm
cluster_labels Get labels of clusters
cluster_labels.model_sslr_fitted Cluster labels
coBC General Interface for CoBC model
coBCCombine Combining the hypothesis
coBCG CoBC generic method
coBCReg General Interface coBCReg model
coBCRegG Generic Interface coBCReg model
coffee Time series data set
constrained_kmeans General Interface Constrained KMeans
COREG General Interface for COREG model

-- D --

DecisionTreeClassifier-class Class DecisionTreeClassifier
democratic General Interface for Democratic model
democraticCombine Combining the hypothesis of the classifiers
democraticG Democratic generic method

-- E --

EMLeastSquaresClassifierSSLR General Interface for EMLeastSquaresClassifier model
EMNearestMeanClassifierSSLR General Interface for EMNearestMeanClassifier model
EntropyRegularizedLogisticRegressionSSLR General Interface for EntropyRegularizedLogisticRegression model

-- F --

fit.model_sslr Fit with formula and data
fit_decision_tree An S4 method to fit decision tree.
fit_decision_tree-method Fit decision tree
fit_random_forest-method Fit Random Forest
fit_xy.model_sslr Fit with x and y
fit_x_u fit_x_u object
fit_x_u.model_sslr Fit with x , y (labeled data) and unlabeled data (x_U)

-- G --

get_centers Get centers model of clustering
get_centers.model_sslr_fitted Cluster labels
get_class_max_prob Get most frequented
get_class_mean_prob Get mean probability over all trees as prob vector
get_function FUNCTION TO GET FUNCTION METHOD
get_function_generic FUNCTION TO GET FUNCTION METHOD
get_levels_categoric Function to get gtoup from gini index
get_most_frequented Get most frequented
get_value_mean Get value mean
get_x_y FUNCTION TO GET REAL X AND Y WITH FORMULA AND DATA
gini_or_variance Gini or Variance by column
gini_prob Function to compute Gini index
GRFClassifierSSLR General Interface for GRFClassifier (Label propagation using Gaussian Random Fields and Harmonic) model
grow_tree An S4 method to grow tree.
grow_tree-method Function grow tree

-- K --

knn_regression knn_regression

-- L --

LaplacianSVMSSLR General Interface for LaplacianSVM model
lcvqeSSLR General LCVQE Algorithm
LinearTSVMSSLR General Interface for LinearTSVM model
load_conclust Load conclust
load_parsnip Load parsnip
load_RANN Load parsnip
load_RSSL Load RSSL

-- M --

MCNearestMeanClassifierSSLR General Interface for MCNearestMeanClassifier (Moment Constrained Semi-supervised Nearest Mean Classifier) model
mpckmSSLR General Interface MPC K-Means Algorithm

-- N --

newDecisionTree Function to create DecisionTree
Node-class Class Node for Decision Tree
nullOrNumericOrCharacter-class An S4 class to represent a class with more types values: null, numeric or character

-- O --

oneNN 1-NN supervised classifier builder

-- P --

predict-method Function to predict inputs in Decision Tree
predict-method Function to predict inputs in Decision Tree
predict.coBC Predictions of the coBC method
predict.COREG Predictions of the COREG method
predict.democratic Predictions of the Democratic method
predict.EMLeastSquaresClassifierSSLR Predict EMLeastSquaresClassifierSSLR
predict.EMNearestMeanClassifierSSLR Predict EMNearestMeanClassifierSSLR
predict.EntropyRegularizedLogisticRegressionSSLR Predict EntropyRegularizedLogisticRegressionSSLR
predict.LaplacianSVMSSLR Predict LaplacianSVMSSLR
predict.LinearTSVMSSLR Predict LinearTSVMSSLR
predict.MCNearestMeanClassifierSSLR Predict MCNearestMeanClassifierSSLR
predict.model_sslr_fitted Predictions of model_sslr_fitted class
predict.OneNN Model Predictions
predict.RandomForestSemisupervised_fitted Predictions of the SSLRDecisionTree_fitted method
predict.selfTraining Predictions of the Self-training method
predict.setred Predictions of the SETRED method
predict.snnrce Predictions of the SNNRCE method
predict.snnrceG Predictions of the SNNRCE method
predict.SSLRDecisionTree_fitted Predictions of the SSLRDecisionTree_fitted method
predict.triTraining Predictions of the Tri-training method
predict.TSVMSSLR Predict TSVMSSLR
predict.USMLeastSquaresClassifierSSLR Predict USMLeastSquaresClassifierSSLR
predict.WellSVMSSLR Predict WellSVMSSLR
predictions predictions unlabeled data
predictions.GRFClassifierSSLR predictions unlabeled data
predictions.model_sslr_fitted Predictions of unlabeled data
predict_inputs An S4 method to predict inputs.
predict_inputs-method Predict inputs Decision Tree
print.model_sslr Print model SSLR

-- R --

RandomForestSemisupervised-class Class Random Forest

-- S --

seeded_kmeans General Interface Seeded KMeans
selfTraining General Interface for Self-training model
selfTrainingG Self-training generic method
setred General Interface for SETRED model
setredG SETRED generic method
snnrce General Interface for SNNRCE model
SSLRDecisionTree General Interface Decision Tree model
SSLRRandomForest General Interface Random Forest model

-- T --

train_generic FUNCTION TO TRAIN GENERIC MODEL
triTraining General Interface for Tri-training model
triTrainingCombine Combining the hypothesis
triTrainingG Tri-training generic method
TSVMSSLR General Interface for TSVM (Transductive SVM classifier using the convex concave procedure) model

-- U --

USMLeastSquaresClassifierSSLR General Interface for USMLeastSquaresClassifier (Updated Second Moment Least Squares Classifier) model

-- W --

WellSVMSSLR General Interface for WellSVM model
wine Wine recognition data