#

tuning

Here are 12 public repositories matching this topic...

mlr-org / mlr

Machine Learning in R

Updated Aug 22, 2025
R

mlr3tuning

mlr-org / mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

machine-learning r optimization tuning hyperparameter-optimization r-package tune hyperparameter-tuning mlr3 bbotk

Updated Dec 13, 2025
R

mlr-org / mlr3hyperband

Successive Halving and Hyperband in the mlr3 ecosystem

machine-learning r optimization tuning tune hyperparameter-tuning automl hyperband mlr3 bbotk

Updated Jul 23, 2025
R

mlr-org / mlr3tuningspaces

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

machine-learning r tuning r-package tune hyperparameter-tuning automl mlr3

Updated Aug 16, 2025
R

collab-uniba / emse_best-answer-prediction

Dataset, scripts, and additional material for the EMSE submission "Best-Answer Prediction in Technical Q&A Sites"

r stackoverflow tuning dataset question-answering questions-and-answers learners best-answer-prediction

Updated May 6, 2024
R

rgmantovani / HpTuning

Machine Learning Hyper-parameter Tuning processes

machine-learning tuning tuning-parameters hyperparameter-tuning meta-heuristics

Updated Dec 19, 2023
R

mlr3mbo

mlr-org / mlr3mbo

Flexible Bayesian Optimization in R

machine-learning cran r random-forest optimization optimizer tuning hyperparameter-optimization r-package model-based-optimization black-box-optimization bayesian-optimization hyperparameter-tuning hpo automl hyperparameter gaussian-process mlr3 bbotk

Updated Dec 13, 2025
R

PiotrTymoszuk / clustTools

Comprehensive dimensionality reduction and cluster analysis toolset

cross-validation variable-importance tuning dimensionality-reduction self-organizing-map kmeans-clustering k-nearest-neighbours hierarchical-clustering unsupervised-clustering semi-supervised-clustering density-clustering pam-clustering regularized-clustering

Updated May 12, 2024
R

DanteSc03 / BroachAlign-Machine-Learning

focus on machine learning techniques for clustering and regression analysis. It explores real-world datasets to solve challenges and extract meaningful insights. Specifically, it addresses the critical task of predicting when to replace broaches used in manufacturing airplane engines.

machine-learning random-forest linear-regression tuning xgboost learn resampling r-programming lasso-regression pre-processing

Updated Apr 30, 2025
R

kvantas / missTune

Imputation of Missing Values by auto-tuned chaining tree ensembles

r random-forest tuning rstats imputation r-package

Updated Jan 7, 2019
R

sumny / eagga

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

machine-learning r optimization tabular-data tuning xgboost hyperparameter-optimization r-package multi-objective hyperparameter-tuning hpo automl multiobjective xai interpretable-machine-learning

Updated Mar 20, 2024
R

matthewfishermv / MachineLearning-with-R

Machine Learning algorithms in R

data-science machine-learning statistics clustering models ml regression tuning supervised-learning classification mlr rlang

Updated Jun 5, 2021
R

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