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less
View on CRAN: Click
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Download and install less package within the R console
Install from CRAN:
install.packages("less")
Install from Github:
library("remotes")
install_github("cran/less") Install by package version:
library("remotes")
install_version("less", "0.1.0") Attach the package and use:
library("less")
Maintained by
Burhan Ozer Cavdar
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First Published: 2022-09-27
Latest Update: 2022-09-27
Description:
"Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at .
How to cite:
Burhan Ozer Cavdar (2022). less: Learning with Subset Stacking. R package version 0.1.0, https://cran.r-project.org/web/packages/less. Accessed 06 Jul. 2026.
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the less R package
Some associated functions: BaseEstimator . CoverTree . DecisionTreeClassifier . DecisionTreeRegressor . HierarchicalClustering . KDTree . KMeans . KNeighborsClassifier . KNeighborsRegressor . LESSBase . LESSBinaryClassifier . LESSClassifier . LESSRegressor . LinearRegression . RandomForestClassifier . RandomForestRegressor . SVC . SVR . SklearnEstimator . abalone . check_is_fitted . comparison_plot . get_functions . k_fold_cv . laplacian . prepareDataset . prepareXset . rbf . synthetic_sine_curve . test_timing . train_test_split .
Some associated R codes: abalone_data.R . classifiers.R . clustering-methods.R . helper-classes.R . helper-functions.R . less-classifier.R . less-regressor.R . regressors.R . tree-methods.R . tutorial.R . Full less package functions and examples
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