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subset-selection

Here are 34 public repositories matching this topic...

zoofs

jaswinder9051998 / zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

python machine-learning optimization genetic-algorithm machine-learning-algorithms feature-selection supervised-learning evolutionary-algorithms machinelearning optimization-methods optimization-tools optimization-algorithms particle-swarm-optimization subset-selection particle-swarm grey-wolf-optimizer grey-wolf

Updated Jun 25, 2024
Python

thieu1995 / mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

machine-learning optimization genetic-algorithm feature-selection feature-extraction dimensionality-reduction decision-tree-classifier mutual-information svm-classifier relief-f subset-selection knn-classifier pearson-correlation-coefficient harris-hawks-optimization wrapper-methods

Updated Jun 12, 2024
Python

StarlangSoftware / Classification

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms

Updated Jun 22, 2024
Java

sibirbil / LESS

Learning with Subset Stacking

machine-learning regression classification meta-learning subset-selection stacking-ensemble

Updated Sep 29, 2022
Python

StarlangSoftware / Classification-Py

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees autoencoder-classification

Updated May 11, 2024
Python

JacobSeedorff21 / BranchGLM

Efficient Variable Selection for GLMs in R

statistics regression variable-selection r-package generalized-linear-models subset-selection

Updated Jun 12, 2024
R

julienraffaud / ProtoDash

PySpark Implementation of the ProtoDash subset selection algorithm.

machine-learning subset-selection explainable-ai explainable-ml

Updated Jun 11, 2020
Jupyter Notebook

cykbennie / prescience-r

R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).

statistics econometrics subset-selection

Updated Nov 1, 2018
R

StarlangSoftware / Classification-CS

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm support-vector-classifier multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm bagging-trees autoencoder-classification

Updated May 11, 2024
C#

airdipu / Data-Mining-using-R

This project is on Data Mining process using R depending on ISLR book.

data-mining r svm linear-regression pca decision-trees lda ridge-regression pcr svm-classifier non-linear-regression pls subset-selection logisticsregression

Updated Jun 6, 2020
R

SebastianAment / CompressedSensing.jl

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

sparsity compressed-sensing julia feature-selection sparse-linear-systems sparse-regression matching-pursuit sparse-bayesian-learning stepwise-regression subset-selection basis-pursuit

Updated Mar 28, 2022
Julia

devinaa1604 / Subset_Selection

This aims to run a subset selection process on the data set using R

rstudio bic r2 subset-selection

Updated Mar 28, 2021
R

lamda-bbo / BPODC

Official implementation of PPSN'24 paper "Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints"

multi-objective-optimization multi-objective subset-selection

Updated Jun 17, 2024
Python

enricoschumann / neighbours

Neighbourhood Functions for Local-Search Algorithms

machine-learning algorithms local-search simulated-annealing threshold-accepting subset-selection neighbours neighbourhood-functions

Updated Sep 22, 2023
R

avxxx / Optimizing-Project-2020

Проект по методам оптимизации, 3 курс, ФУПМ МФТИ

greedy-algorithm submodular-optimization subset-selection forward-regression

Updated May 28, 2020
Jupyter Notebook

StarlangSoftware / Classification-Cy

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees

Updated May 11, 2024
Cython

pscharfe / Predicting-Coup-Outcomes-in-R

dplyr logistic-regression rpart subset-selection

Updated Dec 20, 2020
R

KCachel / fins

Group fairness auditing methods for set selections. Corresponding to paper "FINS Auditing Framework: Group Fairness for Subset Selections" AAAI/ACM AIES 2022

fairness subset-selection group-fairness

Updated May 23, 2022
Python

kaushikmanikonda / Industrial-Data-Analytics-and-Machine-Learning_ISEN_613

Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

data-science linear-regression statistical-learning supervised-learning logistic-regression machinelearning confusion-matrix bootstrapping unsupervised-learning support-vector-machines r-programming hierarchical-clustering boosting bagging random-forests k-means-clustering k-nearest-neighbors tree-pruning subset-selection multiple-linear-regression

Updated Mar 25, 2021
R

JacobSeedorff21 / fastbackward

Fast Backward Elimination in R

statistics regression r-package subset-selection

Updated May 30, 2024
R

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