# Semi-Supervised Classification and Regression Methods

## Documentation for package ‘SSLR’ version 0.9.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

abalone | Abalone
best_split | An S4 method to best split
best_split-method | Best Split function
breast | Breast
calculate_gini | Function calculate gini
check_value | Check value in leaf
check_xy_interface | Ceck interface x y
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
COREG | General Interface for COREG model
DecisionTreeClassifier-class | Class DecisionTreeClassifier
democratic | General Interface for Democratic model
democraticCombine | Combining the hypothesis of the classifiers
democraticG | Democratic generic method
EMLeastSquaresClassifierSSLR | General Interface for EMLeastSquaresClassifier model
EMNearestMeanClassifierSSLR | General Interface for EMNearestMeanClassifier model
EntropyRegularizedLogisticRegressionSSLR | General Interface for EntropyRegularizedLogisticRegression model
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)
get_class_max_prob | Get most frequented
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
grow_tree | An S4 method to grow tree.
grow_tree-method | Function grow tree
knn_regression | knn_regression
LaplacianSVMSSLR | General Interface for LaplacianSVM model
LinearTSVMSSLR | General Interface for LinearTSVM model
load_parsnip | Load parsnip
load_RANN | Load parsnip
load_RSSL | Load RSSL
MCNearestMeanClassifierSSLR | General Interface for MCNearestMeanClassifier (Moment Constrained Semi-supervised Nearest Mean Classifier) model
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
oneNN | 1-NN supervised classifier builder
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
predict_inputs | An S4 method to predict inputs.
predict_inputs-method | Predict inputs Decision Tree
print.model_sslr | Print model SSLR
RandomForestSemisupervised-class | Class Random Forest
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
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
USMLeastSquaresClassifierSSLR | General Interface for USMLeastSquaresClassifier (Updated Second Moment Least Squares Classifier) model
WellSVMSSLR | General Interface for WellSVM model
wine | Wine recognition data