CRAN/E | kerastuneR

Installation

About

'Keras Tuner' is a hypertuning framework made for humans. It aims at making the life of AI practitioners, hypertuner algorithm creators and model designers as simple as possible by providing them with a clean and easy to use API for hypertuning. 'Keras Tuner' makes moving from a base model to a hypertuned one quick and easy by only requiring you to change a few lines of code.

github.com/EagerAI/kerastuneR/
System requirements	TensorFlow >= 2.0 (https://www.tensorflow.org/)
Bug report	File report

Key Metrics

Version	0.1.0.7
Published	2024-04-13 12 days ago
Needs compilation?	no
License	Apache License 2.0
CRAN checks	kerastuneR results

Downloads

Yesterday	37 0%
Last 7 days	164 -34%
Last 30 days	658 +43%
Last 90 days	1.516 -6%
Last 365 days	6.394 +36%

Maintainer

Turgut Abdullayev

turqut.a.314@gmail.com

Authors

Turgut Abdullayev	aut / cre
Google Inc.	cph

Material

README
Reference manual
Package source

Vignettes

Bayesian Optimization
HyperModel subclass
Introduction to kerastuneR
MNIST hypertuning
KerasTuner best practices

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

kerastuneR archive

Imports

reticulate
tensorflow
rstudioapi
plotly
data.table
RJSONIO
rjson
tidyjson
dplyr
echarts4r
crayon
magick

Suggests

keras3
knitr
tfdatasets
testthat
purrr
rmarkdown

kerastuneR

Interface to 'Keras Tuner'