regr_folds

<p>this function creates both stratified and non-stratified folds in regression</p>

internal

A Non-Metric Space Library ('NMSLIB' <https://github.com/searchivarius/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/searchivarius/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/searchivarius/nmslib> 'Python' Library.

Lampros Mouselimis

nmslibR

Non Metric Space (Approximate) Library

B. Naidan

L. Boytsov

Yu. Malkov

B. Frederickson

D. Novak

regr_folds function

create folds (in regression)                                           [ detailed information about class_folds in the FeatureSelection package ] — regr_folds

create folds (in regression)                                           [ detailed information about class_folds in the FeatureSelection package ]

regr_folds: create folds (in regression) [ detailed information about class_folds in the FeatureSelection package ]

Description

Usage

Arguments