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variable-selection

Here are 87 public repositories matching this topic...

avehtari / modelselection

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Tutorial on model assessment, model selection and inference after model selection

variable-selection bayesian stan rstanarm

Updated Mar 22, 2019
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Sundar0989 / WOE-and-IV

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variable-selection information-value weight-of-evidence iv woe woe-and-iv

Updated Nov 26, 2018
Jupyter Notebook

stan-dev / projpred

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Projection predictive variable selection

statistics variable-selection bayesian bayesian-inference stan r-package rstanarm

Updated Jul 31, 2021
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boost-R / mboost

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Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

html machine-learning cran tutorials variable-selection dimensional-data gam modelling r-language glm r-package mboost boosting-algorithms

Updated Apr 6, 2021
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HannaMeyer / CAST

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Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

machine-learning spatial variable-selection feature-selection caret autocorrelation predictive-modeling spatio-temporal overfitting

Updated Jul 2, 2021
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merliseclyde / BAS

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BAS R package

cran regression variable-selection model-selection bayesian r-package predictive-modeling mcmc

Updated Nov 10, 2020
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ELToulemonde / dataPreparation

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Data preparation for data science projects.

data-science r variable-selection speed data-preprocessing data-preparation date-conversion variable-elimination

Updated Dec 15, 2020
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Sundar0989 / Variable-Selection-Using-Python

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python voting variable-selection feature-selection

Updated Dec 13, 2019
Jupyter Notebook

majianthu / pycopent

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Estimating Copula Entropy and Transfer Entropy in Python

correlation estimation variable-selection mutual-information transfer-entropy granger-causality causal-discovery copula-entropy

Updated Mar 20, 2021
Python

hofnerb / stabs

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Stability Selection with Error Control

machine-learning cran r variable-importance doi variable-selection r-language resampling r-package stability-selection

Updated Jan 28, 2021
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boost-R / gamboostLSS

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Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

machine-learning cran scale shape variable-selection dimensional-data r-language r-package boosting-algorithms gamboostlss gamlss

Updated Jul 23, 2021
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jaredhuling / oem

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Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

machine-learning cran mcp lasso variable-selection scad r-package oem group-lasso penalized-regression oem-algorithm

Updated Jul 20, 2021
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lorinanthony / RATE

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Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures

machine-learning deep-neural-networks genetics variable-importance variable-selection neural-networks kullback-leibler-divergence bayesian-neural-networks gp-regression

Updated Dec 2, 2020
Jupyter Notebook

Mamba413 / bess

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Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

variable-selection feature-selection survival-analysis sparse-linear-systems regression-models classification-model poisson-regression

Updated Feb 24, 2021
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nanxstats / msaenet

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🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions

machine-learning linear-regression high-dimensional-data variable-selection false-positive-control

Updated Jul 17, 2021
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boost-R / FDboost

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Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

machine-learning cran variable-selection boosting-algorithms boosting function-on-function-regression scalar-on-function-regression function-on-scalar-regression

Updated Jun 29, 2021
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mlpapers / feature-selection

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Awesome papers on Feature Selection

awesome correlation variable-selection feature-selection dimensionality-reduction awesome-list mutual-information feature-importance

Updated May 29, 2020

meowoodie / Regularized-RBM

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A regularized version of RBM for unsupervised feature selection.

python events machine-learning data-mining statistics tensorflow embeddings variable-selection feature-selection rbm regularization unsupervised-learning skipgram l1 icassp icassp-2018

Updated Nov 20, 2019
Python

hruffieux / locus

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locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression

c-plus-plus r high-dimensional-data variable-selection biostatistics variational-inference sparse-regression joint-models

Updated Jan 16, 2021
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lorinanthony / BAKR

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Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

gwas genetics variable-selection bayesian-statistics kernel-regression nonlinear-regression

Updated Jan 31, 2019
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BANNs

lcrawlab / BANNs

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Code and simulations using Biologically Annotated Neural Networks (BANNs)

machine-learning gwas genetics variable-selection neural-networks bayesian-statistics interpretability gwas-tools

Updated Jan 26, 2021
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majianthu / copent

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R package for estimating copula entropy and transfer entropy

correlation entropy variable-selection copula transfer-entropy granger-causality causal-discovery estiamtion mutualinf copula-entropy

Updated Mar 20, 2021
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joshloyal / sliced

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sliced: scikit-learn compatible sufficient dimension reduction

python machine-learning machine-learning-algorithms variable-selection feature-selection dimensionality-reduction dimension-reduction sufficient-dimension-reduction

Updated Mar 21, 2020
Python

slipguru / l1l2py

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l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.

python variable-selection feature-selection machinelearning fista l1l2-regularization

Updated Dec 5, 2017
Python

SINATRA

lcrawlab / SINATRA

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A statistical framework for feature selection and association mapping with 3D shapes

r variable-selection r-package nonparametric-regression 3d-reconstruction topological-data-analysis shape-reconstruction shape-analysis 3d-shapes centrality-measures euler-characteristics topological-features topological-summary-statistics

Updated Jul 16, 2021
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majianthu / aps2020

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Code for the paper 'Variable Selection with Copula Entropy' accepted by Chinese Journal of Applied Probability and Statistics

variable-importance variable-selection feature-selection feature-engineering hsic mutual-information distance-correlation copula-entropy

Updated Feb 7, 2021
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nanxstats / bcpm-msaenet

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Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet

machine-learning high-dimensional-data variable-selection brain-cancer precisionfda

Updated Aug 25, 2020
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emirhankartal-py / python_bidirectional_stepwise_selection

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Automated Bidirectional Stepwise Selection On Python

python science data machine-learning backward variable-importance variable-selection feature-selection bidirectional features feature forward stepwise-regression

Updated Jul 4, 2019
Python

nanxstats / OHPL

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Ordered Homogeneity Pursuit Lasso for Group Variable Selection

high-dimensional-data lasso variable-selection spectroscopy chemometrics partial-least-squares-regression homogeneity-pursuit

Updated Mar 4, 2021
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jaredhuling / vennLasso

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Variable selection for heterogeneous populations using the vennLasso penalty

machine-learning variable-selection penalized-regression r-stats heterogeneity risk-modelling

Updated Aug 28, 2020
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