Package: less 0.1.0

less: Learning with Subset Stacking

"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 <arxiv:2112.06251>.

Authors:Ilker Birbil [aut], Burhan Ozer Cavdar [aut, trl, cre]

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# Install 'less' in R:

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

Datasets:

abalone - Abalone Data Set

On CRAN:

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

1.70 score 5 scripts 182 downloads 27 exports 89 dependencies

Last updated 2 years agofrom:302a6d5544. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 08 2024
R-4.5-win	NOTE	Nov 08 2024
R-4.5-linux	NOTE	Nov 08 2024
R-4.4-win	NOTE	Nov 08 2024
R-4.4-mac	NOTE	Nov 08 2024
R-4.3-win	NOTE	Nov 08 2024
R-4.3-mac	NOTE	Nov 08 2024

Exports:BaseEstimator comparison_plot CoverTree DecisionTreeClassifier DecisionTreeRegressor get_functions HierarchicalClustering k_fold_cv KDTree KMeans KNeighborsClassifier KNeighborsRegressor laplacian LESSClassifier LESSRegressor LinearRegression prepareDataset prepareXset RandomForestClassifier RandomForestRegressor rbf SklearnEstimator SVC SVR synthetic_sine_curve test_timing train_test_split

Dependencies:bitops caret caTools class cli clock cluster codetools colorspace cpp11 data.table diagram digest dplyr e1071 fansi farver FNN foreach future future.apply generics ggplot2 globals glue gower gplots gtable gtools hardhat iotools ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix mgcv MLmetrics ModelMetrics munsell nlme nnet numDeriv parallelly pillar pkgconfig plyr pracma pROC prodlim progressr proxy purrr R6 randomForest RANN RColorBrewer Rcpp recipes reshape2 rlang ROCR rpart scales shape sparsesvd SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite withr wordspace

Citation

Readme and manuals

Help Manual

Help page	Topics
Abalone Data Set	abalone
BaseEstimator	BaseEstimator
Fitting Control	check_is_fitted
Comparison Plot	comparison_plot
CoverTree - Nearest Neighbor Search	CoverTree
DecisionTreeClassifier	DecisionTreeClassifier
DecisionTreeRegressor	DecisionTreeRegressor
Get Functions	get_functions
Hierarchical Clustering	HierarchicalClustering
k-Fold Cross Validation	k_fold_cv
KDTree - Nearest Neighbor Search	KDTree
KMeans Clustering	KMeans
KNeighborsClassifier	KNeighborsClassifier
KNeighborsRegressor	KNeighborsRegressor
Laplacian kernel - L1 norm	laplacian
LESSBase	LESSBase
LESSBinaryClassifier	LESSBinaryClassifier
LESSClassifier	LESSClassifier
LESSRegressor	LESSRegressor
LinearRegression	LinearRegression
Prepare a Dataset	prepareDataset
Prepare a Dataset	prepareXset
RandomForestClassifier	RandomForestClassifier
RandomForestRegressor	RandomForestRegressor
RBF kernel - L2 norm	rbf
SklearnEstimator	SklearnEstimator
Support Vector Classification	SVC
Support Vector Regression	SVR
Synthetic Sine Curve	synthetic_sine_curve
Compare Fitting Time	test_timing
Dataset splitting	train_test_split

Package: less 0.1.0

less: Learning with Subset Stacking

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)