dials: Tools for Creating Tuning Parameter Values

Canonical link: https://rscholar.com/pkg/dials

Max Kuhn • Hannah Frick • Posit Software • View description and downloads View dependencies GitHub project

2018 Published

35 Citations

3 Authors

17 Revisions

1.4.0 Version

MIT License

Referenced by ⇅	Year
viruslearner: Ensemble Learning for HIV-Related Metrics (Version 0.0.2)	2024
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.5.0)	2024
ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes (Version 1.0.4)	2024
tidydann: Add the 'dann' Model and the 'sub_dann' Model to the Tidymodels Ecosystem (Version 1.0.0)	2023
tidysdm: Species Distribution Models with Tidymodels (Version 1.0.0)	2023
viralmodels: Viral Load and CD4 Lymphocytes Regression Models (Version 1.3.3)	2023
agua: 'tidymodels' Integration with 'h2o' (Version 0.1.4)	2022
bonsai: Model Wrappers for Tree-Based Models (Version 0.3.2)	2022
censored: 'parsnip' Engines for Survival Models (Version 0.3.3)	2022
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.5.0)	2022
tidyclust: A Common API to Clustering (Version 0.2.4)	2022
tidyfit: Regularized Linear Modeling with Tidy Data (Version 0.7.3)	2022
autostats: Auto Stats (Version 0.4.1)	2021
flipr: Flexible Inference via Permutations in R (Version 0.3.3)	2021
healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.0)	2021
healthyR.ts: The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)	2021
tabnet: Fit 'TabNet' Models for Classification and Regression (Version 0.6.0)	2021
workflowsets: Create a Collection of 'tidymodels' Workflows (Version 1.1.0)	2021
baguette: Efficient Model Functions for Bagging (Version 1.1.0)	2020
finetune: Additional Functions for Model Tuning (Version 1.2.0)	2020
modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime (Version 1.0.4)	2020
modeltime.resample: Resampling Tools for Time Series Forecasting (Version 0.2.3)	2020
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.1)	2020
rules: Model Wrappers for Rule-Based Models (Version 1.0.2)	2020
shapr: Prediction Explanation with Dependence-Aware Shapley Values (Version 1.0.2)	2020
themis: Extra Recipes Steps for Dealing with Unbalanced Data (Version 1.0.3)	2020
tune: Tidy Tuning Tools (Version 1.3.0)	2020
discrim: Model Wrappers for Discriminant Analysis (Version 1.0.1)	2019
workflows: Modeling Workflows (Version 1.2.0)	2019
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	2018
embed: Extra Recipes for Encoding Predictors (Version 1.1.5)	2018
parsnip: A Common API to Modeling and Analysis Functions (Version 1.3.0)	2018
textrecipes: Extra 'Recipes' for Text Processing (Version 1.0.7)	2018
tidymodels: Easily Install and Load the 'Tidymodels' Packages (Version 1.3.0)	2018
recipes: Preprocessing and Feature Engineering Steps for Modeling (Version 1.1.1)	2017

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