Miscellaneous functions for training and plotting classification and regression models. Detailed documentation is at http://topepo.github.io/caret/index.html
install.packages('caret')pak::pak('topepo/caret/pkg/caret')-
Stars1,561
-
Rank 29,872 (Top 0.6 %)
-
LanguageR
-
Created over 10 years ago
-
Updated over 1 year ago
Reviews
There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
More Repositories
1
FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and JohnsonHTML
705
2
APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)TeX
193
3
rstudio-conf-2019
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019HTML
151
4
rstudio-conf-2018
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018JavaScript
76
5
aml-london-2019
Course materials for Applied Machine Learning course in 2019 in LondonHTML
65
6
C5.0
An R package for fitting Quinlan's C5.0 classification modelC
50
7
tidy-apm
tidymodels code for the book Applied Predictive ModelingR
43
8
Cubist
An R package for fitting Quinlan's Cubist regression modelC
38
9
useR2016
Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"R
38
10
tidyAPM
tidymodels code for Applied Predictive ModelingR
36
11
shinylive-in-book-test
testing shiny in quarto docsLua
33
12
user2018
Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"JavaScript
32
13
AppliedPredictiveModeling
Data and code from Applied Predictive Modeling (2013)R
29
14
DC-ML-2018
Materials for the Applied Machine Learning Workshop in Washington DCJavaScript
28
15
XIjuR-2019
Presentations for Madrid R conferenceHTML
25
16
sdss-2019
Slides and code for the "Modeling in the Tidyverse" short course on Wednesday, May 29 2019 at SDSS (Symposium on Data Science and Statistics).JavaScript
24
17
nyr-2020
Materials for the 2020 NYR Machine Learning workshopHTML
21
18
cars
Another fuel economy data set but updatedR
20
19
FES_Selection_Simulation
Feature Selection Simulation FilesR
17
20
R-Ladies-London
Code and Slides for "Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling in R and the caret Package"R
16
21
odsc-2019
Notes and code for "Modeling in the tidyverse" 90m workshop at ODSC EastJavaScript
15
22
Optimization-Methods-for-Tuning-Predictive-Models
Code and slides from a 2016 talk at the Cambridge UK RUGR
15
23
NY-ML-2018
Materials for the Applied Machine Learning Workshop in New YorkJavaScript
14
24
AmesHousing
Ames IA Housing data from De Cock (2011)R
12
25
odsc_rules
Notes and code for the workshop "Rule-Based Models for Regression and Classification”R
12
26
an-introduction-to-tidymodels
Overview of our packagesHTML
11
27
par-caret-bench
parallel processing benchmarks for caretR
10
28
2021-NYR
R
10
29
2022-nyr-workshop
Code and notes for the tidymodels workshopHTML
10
30
DC-ML-2019
Materials for the Applied Machine Learning Workshop in Washington DCHTML
9
31
2020-r-pharma
Slides and sources for 2020 R/Pharma talkHTML
9
32
nyr-2019
Workshop notes for NYR conference workshopJavaScript
8
33
2021-Cleveland-RUG
Talk slidesJavaScript
8
34
ICHPS2015_Class_Imbalance
Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"R
8
35
RPharma-2019-Workshop
Course notes and code for the workshopHTML
8
36
APM_Figures
Figures for the book Applied Predictive Modeling
8
37
dummies-vs-factors
Simulation studies to compare tree- and rule-based models for different encodingsR
8
38
2021-nyr-workshop
Machine Learning 1 day workshopJavaScript
7
39
sparselda
R package to perform sparse linear discriminant analysis for gaussians and mixture of gaussians models.R
7
40
conformal_sim
simulations to measure interval coverageR
7
41
2020-earl-workshop
Notes and code for "A Quick Introduction to tidymodels"JavaScript
7
42
nyr-2020-talk
SlidesHTML
6
43
2021_11_HDSI_RUG
Slides and code for "Cooking Your Data with Recipes"HTML
6
44
characterize
Inspect structural characteristics of a fitted model, such as the number of active features, the number of terminal notes, and so on.R
6
45
R-Pharma-2019
conference slides for R/Pharma 2019 talkHTML
5
46
posit-2023-conformal
Slides and code for "Conformal Inference with Tidymodels"
SCSS
5
47
2023_Shell_bootcamp
JavaScript
5
48
2021-LA-RUG
An introduction to workflow setsHTML
5
49
2024_05_NYR
SHINYLIVE IS SO EASY talkJavaScript
5
50
2023-latinR
Slides for the 2023 LatinR Keynote
SCSS
4
51
2023-07-NYR
Talk: The Post-Modeling Model to Fix the Model
SCSS
4
52
deploycaret
Version, Pin, and Deploy 'caret' Models with 'pins' and 'plumber'R
3
53
2020-CT-ASA
Slide for ASA miniconference talk "What Inferential Statistics Can Utilize from Predictive Models"HTML
3
54
ncb-2019-shiny
materials for shiny workshop at the 2019 Nonclinical Biostatistics ConferenceHTML
3
55
2021_NY_RUG
What's New and Upcoming in tidymodelsHTML
3
56
ongoal
Data for several Pittsburgh Penguins seasons on whether a shots was on goal or not.R
3
57
sommelier
LLM helper for tidymodelsR
3
58
stanford-stat-352
tidymodels slides for "Topics in Computing for Data Science"HTML
3
59
2021-r-pharma
Public Slides and sources for 2021 R/Pharma talkHTML
3
60
sparsediscrim
Sparse and Regularized Discriminant AnalysisR
3
61
2024_SSA_SCV
tidymodels tutorial for the Statistical Society of Australia (SSA) statistical computing and visualisation tutorialsLua
3
62
2024-posit-conf
Evaluating time-to-event models is hard
SCSS
2
63
2022-06-NYR
Monitor Your Data As Well As Your ModelHTML
2
64
resampling_sim
Assessing the bias and precision of resampling methods via simulationR
2
65
filterdb
Methods for Supervised Filtering of PredictorsR
2
66
agua-h2o-benchmark
R
2
67
2023_AstraZeneca
Slides and code for the tidymodels tutorial for AstraZenecaJavaScript
2
68
2022-r-pharma
Slides for the 2022 conferenceHTML
2
69
2023-r-pharma
Slides for "Serverless Shiny in Quarto Documents"
SCSS
2
70
2022-AZ-keynote
Slides for AstraZeneca R ConferenceHTML
2
71
ggplots-in-quarto-table
quarto test repoHTML
2
72
2020-EARL
Talk slide for EARL 2020 keynoteJavaScript
2
73
stacking_characterizations
Sandbox to looking into parameters affecting model stackingR
2
74
2024_bureau_of_labor_statistics
Introduction to tidymodels for the Bureau of Labor StatisticsLua
2
75
Grants
Grant Data
1
76
postprocessing-data
Discussion of data usage ideas for postprocessorsCSS
1
77
bookdown-chunk-option-test
TeX
1
78
source-shiny
sourcing external R files with shiny appsJavaScript
1
79
parallel-printing
small scripts to test logging via different parallel processing techniquesR
1
80
2023_work_week
charactizerize slidesJavaScript
1
81
2019-R-Ladies-Miami
Totally Tidy Tuning Tools TalkJavaScript
1
82
2024_FDA_Mod_and_Sim
Slides for talk to the FDA Modeling and Simulation Working GroupLua
1
83
IFCS-2017
Workshop Slides for International Federation of Classification Societies (IFCS)R
1
84
beans
Data on dry beans from Koklu and Ozkan (2020)R
1
85
desirability
S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980)R
1
86
adjusted
Post-Hoc Nearest Neighbor Adjustment of Regression PredictionsR
1
87
quarto-book-test
template for testing a quarto bookHTML
1
88
2024_PharmaDS
Slides for "What Happens After the Model?"
SCSS
1