Package: SSLR 0.9.3.3

Francisco Jesús Palomares Alabarce

SSLR: Semi-Supervised Classification, Regression and Clustering Methods

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.

Authors:Francisco Jesús Palomares Alabarce [aut, cre], José Manuel Benítez [ctb], Isaac Triguero [ctb], Christoph Bergmeir [ctb], Mabel González [ctb]

SSLR_0.9.3.3.tar.gz
SSLR_0.9.3.3.tar.gz(r-4.5-noble)SSLR_0.9.3.3.tar.gz(r-4.4-noble)
SSLR_0.9.3.3.tgz(r-4.4-emscripten)SSLR_0.9.3.3.tgz(r-4.3-emscripten)
SSLR.pdf |SSLR.html✨
SSLR/json (API)
NEWS

# Install 'SSLR' in R:

install.packages('SSLR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

abalone - Abalone
breast - Breast
coffee - Time series data set
wine - Wine recognition data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.64 score 1 stars 73 scripts 287 downloads 53 exports 54 dependencies

Last updated 3 years agofrom:806b4f7c47. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 26 2024
R-4.5-linux-x86_64	NOTE	Nov 26 2024

Exports:cclsSSLR ckmeansSSLR cluster_labels cluster_labels.model_sslr_fitted coBC coBCCombine coBCG constrained_kmeans COREG democratic democraticCombine EMLeastSquaresClassifierSSLR EMNearestMeanClassifierSSLR EntropyRegularizedLogisticRegressionSSLR fit fit_decision_tree fit_x_u fit_x_u.model_sslr fit_xy fit_xy.model_sslr fit.model_sslr get_centers get_centers.model_sslr_fitted get_class_max_prob get_class_mean_prob GRFClassifierSSLR LaplacianSVMSSLR lcvqeSSLR LinearTSVMSSLR MCNearestMeanClassifierSSLR mpckmSSLR newDecisionTree oneNN predict predict_inputs predictions predictions.GRFClassifierSSLR predictions.model_sslr_fitted seeded_kmeans selfTraining selfTrainingG setred setredG snnrce SSLRDecisionTree SSLRRandomForest train_generic triTraining triTrainingCombine triTrainingG TSVMSSLR USMLeastSquaresClassifierSSLR WellSVMSSLR

Dependencies:cli cluster codetools colorspace conclust cpp11 dplyr fansi farver foreach generics ggplot2 globals glue gtable hardhat isoband iterators kernlab labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme parsnip pillar pkgconfig plyr prettyunits proxy purrr quadprog R6 RANN RColorBrewer Rcpp RcppArmadillo reshape2 rlang RSSL scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Classification modeling

Rendered fromclassification.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2020-03-20
Started: 2020-03-20

clustering

Rendered fromclustering.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2020-10-14
Started: 2020-10-14

Model fitting

Rendered fromfit.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2020-03-20
Started: 2020-03-20

SSLR basics

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2020-10-14
Started: 2020-03-20

List of models

Rendered frommodels.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2021-01-10
Started: 2020-03-20

Regression modeling

Rendered fromregression.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2020-10-14
Started: 2020-03-20

Help page	Topics
Abalone	abalone
An S4 method to best split	best_split
Best Split function	best_split,DecisionTreeClassifier-method
Breast	breast
Function calculate gini	calculate_gini
General Interface Pairwise Constrained Clustering By Local Search	cclsSSLR
Check value in leaf	check_value
Ceck interface x y	check_xy_interface
General Interface COP K-Means Algorithm	ckmeansSSLR
Get labels of clusters	cluster_labels
Cluster labels	cluster_labels.model_sslr_fitted
General Interface for CoBC model	coBC
Combining the hypothesis	coBCCombine
CoBC generic method	coBCG
General Interface coBCReg model	coBCReg
Generic Interface coBCReg model	coBCRegG
Time series data set	coffee
General Interface Constrained KMeans	constrained_kmeans
General Interface for COREG model	COREG
Class DecisionTreeClassifier	DecisionTreeClassifier-class
General Interface for Democratic model	democratic
Combining the hypothesis of the classifiers	democraticCombine
Democratic generic method	democraticG
General Interface for EMLeastSquaresClassifier model	EMLeastSquaresClassifierSSLR
General Interface for EMNearestMeanClassifier model	EMNearestMeanClassifierSSLR
General Interface for EntropyRegularizedLogisticRegression model	EntropyRegularizedLogisticRegressionSSLR
An S4 method to fit decision tree.	fit_decision_tree
Fit decision tree	fit_decision_tree,DecisionTreeClassifier-method
Fit Random Forest	fit_random_forest,RandomForestSemisupervised-method
fit_x_u object	fit_x_u
Fit with x , y (labeled data) and unlabeled data (x_U)	fit_x_u.model_sslr
Fit with x and y	fit_xy.model_sslr
Fit with formula and data	fit.model_sslr
Get centers model of clustering	get_centers
Cluster labels	get_centers.model_sslr_fitted
Get most frequented	get_class_max_prob
Get mean probability over all trees as prob vector	get_class_mean_prob
FUNCTION TO GET FUNCTION METHOD	get_function
FUNCTION TO GET FUNCTION METHOD	get_function_generic
Function to get gtoup from gini index	get_levels_categoric
Get most frequented	get_most_frequented
Get value mean	get_value_mean
FUNCTION TO GET REAL X AND Y WITH FORMULA AND DATA	get_x_y
Gini or Variance by column	gini_or_variance
Function to compute Gini index	gini_prob
General Interface for GRFClassifier (Label propagation using Gaussian Random Fields and Harmonic) model	GRFClassifierSSLR
An S4 method to grow tree.	grow_tree
Function grow tree	grow_tree,DecisionTreeClassifier-method
knn_regression	knn_regression
General Interface for LaplacianSVM model	LaplacianSVMSSLR
General LCVQE Algorithm	lcvqeSSLR
General Interface for LinearTSVM model	LinearTSVMSSLR
Load conclust	load_conclust
Load parsnip	load_parsnip
Load parsnip	load_RANN
Load RSSL	load_RSSL
General Interface for MCNearestMeanClassifier (Moment Constrained Semi-supervised Nearest Mean Classifier) model	MCNearestMeanClassifierSSLR
General Interface MPC K-Means Algorithm	mpckmSSLR
Function to create DecisionTree	newDecisionTree
Class Node for Decision Tree	Node-class
An S4 class to represent a class with more types values: null, numeric or character	nullOrNumericOrCharacter-class
1-NN supervised classifier builder	oneNN
An S4 method to predict inputs.	predict_inputs
Predict inputs Decision Tree	predict_inputs,DecisionTreeClassifier-method
Function to predict inputs in Decision Tree	predict,DecisionTreeClassifier-method
Function to predict inputs in Decision Tree	predict,RandomForestSemisupervised-method
Predictions of the coBC method	predict.coBC
Predictions of the COREG method	predict.COREG
Predictions of the Democratic method	predict.democratic
Predict EMLeastSquaresClassifierSSLR	predict.EMLeastSquaresClassifierSSLR
Predict EMNearestMeanClassifierSSLR	predict.EMNearestMeanClassifierSSLR
Predict EntropyRegularizedLogisticRegressionSSLR	predict.EntropyRegularizedLogisticRegressionSSLR
Predict LaplacianSVMSSLR	predict.LaplacianSVMSSLR
Predict LinearTSVMSSLR	predict.LinearTSVMSSLR
Predict MCNearestMeanClassifierSSLR	predict.MCNearestMeanClassifierSSLR
Predictions of model_sslr_fitted class	predict.model_sslr_fitted
Model Predictions	predict.OneNN
Predictions of the SSLRDecisionTree_fitted method	predict.RandomForestSemisupervised_fitted
Predictions of the Self-training method	predict.selfTraining
Predictions of the SETRED method	predict.setred
Predictions of the SNNRCE method	predict.snnrce
Predictions of the SNNRCE method	predict.snnrceG
Predictions of the SSLRDecisionTree_fitted method	predict.SSLRDecisionTree_fitted
Predictions of the Tri-training method	predict.triTraining
Predict TSVMSSLR	predict.TSVMSSLR
Predict USMLeastSquaresClassifierSSLR	predict.USMLeastSquaresClassifierSSLR
Predict WellSVMSSLR	predict.WellSVMSSLR
predictions unlabeled data	predictions
predictions unlabeled data	predictions.GRFClassifierSSLR
Predictions of unlabeled data	predictions.model_sslr_fitted
Print model SSLR	print.model_sslr
Class Random Forest	RandomForestSemisupervised-class
General Interface Seeded KMeans	seeded_kmeans
General Interface for Self-training model	selfTraining
Self-training generic method	selfTrainingG
General Interface for SETRED model	setred
SETRED generic method	setredG
General Interface for SNNRCE model	snnrce
General Interface Decision Tree model	SSLRDecisionTree
General Interface Random Forest model	SSLRRandomForest
FUNCTION TO TRAIN GENERIC MODEL	train_generic
General Interface for Tri-training model	triTraining
Combining the hypothesis	triTrainingCombine
Tri-training generic method	triTrainingG
General Interface for TSVM (Transductive SVM classifier using the convex concave procedure) model	TSVMSSLR
General Interface for USMLeastSquaresClassifier (Updated Second Moment Least Squares Classifier) model	USMLeastSquaresClassifierSSLR
General Interface for WellSVM model	WellSVMSSLR
Wine recognition data	wine

Package: SSLR 0.9.3.3

SSLR: Semi-Supervised Classification, Regression and Clustering Methods

Classification modeling

clustering

Model fitting

SSLR basics

List of models

Regression modeling

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)