fastml: Fast Machine Learning Model Training and Evaluation
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing
comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning.
It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Version:
0.7.0
Imports:
methods,
recipes,
dplyr,
ggplot2,
reshape2,
rsample,
parsnip,
tune,
workflows,
yardstick,
tibble,
rlang,
dials,
RColorBrewer,
baguette,
bonsai,
discrim,
doFuture,
finetune,
future,
plsmod,
probably,
viridisLite,
DALEX,
magrittr,
pROC,
janitor,
stringr,
DT,
UpSetR,
VIM,
broom,
dbscan,
ggpubr,
gridExtra,
htmlwidgets,
kableExtra,
moments,
naniar,
plotly,
scales,
skimr,
tidyr,
tidyselect,
purrr,
mice,
missForest,
survival,
flexsurv,
rstpm2,
iml,
lime,
survRM2,
ceterisParibus,
xgboost,
knitr,
rmarkdown
Suggests:
testthat (≥ 3.0.0),
C50,
ranger,
aorsf,
censored,
crayon,
kernlab,
klaR,
kknn,
keras,
lightgbm,
rstanarm,
mixOmics,
pdp,
patchwork,
GGally,
glmnet,
agua,
bslib,
h2o,
mlbench,
tidyverse
Published:
2025年10月29日
Maintainer:
Selcuk Korkmaz <selcukorkmaz at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=fastml
to link to this page.