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SSLR (version 0.9.3.1)

Semi-Supervised Classification, Regression and Clustering Methods

Description

Providing a collection of techniques for semi-supervised classification, regression and clustering. In semi-supervised problem, both labeled and unlabeled data are used to train a classifier. The package includes a collection of semi-supervised learning techniques: self-training, co-training, democratic, decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface that is easy to use.

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Version

Install

install.packages('SSLR')

Monthly Downloads

112

Version

0.9.3.1

License

GPL-3

Maintainer

Francisco Jes<c3><ba>s Palomares Alabarce

Last Published

January 10th, 2021

Functions in SSLR (0.9.3.1)

COREG

General Interface for COREG model
MCNearestMeanClassifierSSLR

General Interface for MCNearestMeanClassifier (Moment Constrained Semi-supervised Nearest Mean Classifier) model
EntropyRegularizedLogisticRegressionSSLR

General Interface for EntropyRegularizedLogisticRegression model
LinearTSVMSSLR

General Interface for LinearTSVM model
EMNearestMeanClassifierSSLR

General Interface for EMNearestMeanClassifier model
LaplacianSVMSSLR

General Interface for LaplacianSVM model
GRFClassifierSSLR

General Interface for GRFClassifier (Label propagation using Gaussian Random Fields and Harmonic) model
EMLeastSquaresClassifierSSLR

General Interface for EMLeastSquaresClassifier model
DecisionTreeClassifier-class

Class DecisionTreeClassifier
Node-class

Class Node for Decision Tree
abalone

Abalone
USMLeastSquaresClassifierSSLR

General Interface for USMLeastSquaresClassifier (Updated Second Moment Least Squares Classifier) model
RandomForestSemisupervised-class

Class Random Forest
fit_x_u

fit_x_u object
fit.model_sslr

Fit with formula and data
cclsSSLR

General Interface Pairwise Constrained Clustering By Local Search
calculate_gini

Function calculate gini
democraticG

Democratic generic method
best_split

An S4 method to best split
breast

Breast
fit_random_forest,RandomForestSemisupervised-method

Fit Random Forest
knn_regression

knn_regression
WellSVMSSLR

General Interface for WellSVM model
SSLRRandomForest

General Interface Random Forest model
get_centers.model_sslr_fitted

Cluster labels
get_centers

Get centers model of clustering
check_value

Check value in leaf
cluster_labels.model_sslr_fitted

Cluster labels
democratic

General Interface for Democratic model
TSVMSSLR

General Interface for TSVM (Transductive SVM classifier using the convex concave procedure) model
coBC

General Interface for CoBC model
democraticCombine

Combining the hypothesis of the classifiers
predict,DecisionTreeClassifier-method

Function to predict inputs in Decision Tree
lcvqeSSLR

General LCVQE Algorithm
predict.EMNearestMeanClassifierSSLR

Predict EMNearestMeanClassifierSSLR
predict,RandomForestSemisupervised-method

Function to predict inputs in Decision Tree
get_function

FUNCTION TO GET FUNCTION METHOD
check_xy_interface

Ceck interface x y
predictions

predictions unlabeled data
selfTrainingG

Self-training generic method
predict.snnrce

Predictions of the SNNRCE method
predict.EntropyRegularizedLogisticRegressionSSLR

Predict EntropyRegularizedLogisticRegressionSSLR
predict.snnrceG

Predictions of the SNNRCE method
predictions.model_sslr_fitted

Predictions of unlabeled data
setred

General Interface for SETRED model
grow_tree,DecisionTreeClassifier-method

Function grow tree
grow_tree

An S4 method to grow tree.
SSLRDecisionTree

General Interface Decision Tree model
get_function_generic

FUNCTION TO GET FUNCTION METHOD
constrained_kmeans

General Interface Constrained KMeans
coffee

Time series data set
load_RANN

Load parsnip
get_most_frequented

Get most frequented
newDecisionTree

Function to create DecisionTree
get_levels_categoric

Function to get gtoup from gini index
mpckmSSLR

General Interface MPC K-Means Algorithm
predict.LaplacianSVMSSLR

Predict LaplacianSVMSSLR
predict.LinearTSVMSSLR

Predict LinearTSVMSSLR
train_generic

FUNCTION TO TRAIN GENERIC MODEL
triTraining

General Interface for Tri-training model
best_split,DecisionTreeClassifier-method

Best Split function
coBCCombine

Combining the hypothesis
nullOrNumericOrCharacter-class

An S4 class to represent a class with more types values: null, numeric or character
oneNN

1-NN supervised classifier builder
predict.coBC

Predictions of the coBC method
load_RSSL

Load RSSL
predict.triTraining

Predictions of the Tri-training method
predict.WellSVMSSLR

Predict WellSVMSSLR
predict_inputs,DecisionTreeClassifier-method

Predict inputs Decision Tree
coBCG

CoBC generic method
coBCRegG

Generic Interface coBCReg model
coBCReg

General Interface coBCReg model
predict.RandomForestSemisupervised_fitted

Predictions of the SSLRDecisionTree_fitted method
triTrainingCombine

Combining the hypothesis
fit_x_u.model_sslr

Fit with x , y (labeled data) and unlabeled data (x_U)
ckmeansSSLR

General Interface COP K-Means Algorithm
triTrainingG

Tri-training generic method
predict.TSVMSSLR

Predict TSVMSSLR
seeded_kmeans

General Interface Seeded KMeans
predict.SSLRDecisionTree_fitted

Predictions of the SSLRDecisionTree_fitted method
predict.USMLeastSquaresClassifierSSLR

Predict USMLeastSquaresClassifierSSLR
selfTraining

General Interface for Self-training model
get_value_mean

Get value mean
predict.COREG

Predictions of the COREG method
fit_xy.model_sslr

Fit with x and y
get_x_y

FUNCTION TO GET REAL X AND Y WITH FORMULA AND DATA
predict.EMLeastSquaresClassifierSSLR

Predict EMLeastSquaresClassifierSSLR
cluster_labels

Get labels of clusters
predict.selfTraining

Predictions of the Self-training method
print.model_sslr

Print model SSLR
predict.setred

Predictions of the SETRED method
reexports

Objects exported from other packages
snnrce

General Interface for SNNRCE model
setredG

SETRED generic method
get_class_max_prob

Get most frequented
fit_decision_tree,DecisionTreeClassifier-method

Fit decision tree
get_class_mean_prob

Get mean probability over all trees as prob vector
fit_decision_tree

An S4 method to fit decision tree.
gini_prob

Function to compute Gini index
gini_or_variance

Gini or Variance by column
load_conclust

Load conclust
load_parsnip

Load parsnip
predict.OneNN

Model Predictions
predict.MCNearestMeanClassifierSSLR

Predict MCNearestMeanClassifierSSLR
predict.democratic

Predictions of the Democratic method
predict_inputs

An S4 method to predict inputs.
predict.model_sslr_fitted

Predictions of model_sslr_fitted class
predictions.GRFClassifierSSLR

predictions unlabeled data
wine

Wine recognition data