a1c11e379b155b33dcd1bd8739d6ed04 *DESCRIPTION
9231d05ea300b725c0d36ee36fee0c8f *INDEX
f92d04ad6ef1b9a7a5b3714d977f37d6 *Meta/Rd.rds
e00065855163c282e8adab2a116bf019 *Meta/features.rds
248f2b19c24d057e8abc4e9ba98aa2fa *Meta/hsearch.rds
13c7c2f5638b4d664c266f62a10fd5d9 *Meta/links.rds
6d226743ecb24529a363bb0db5ee9e76 *Meta/nsInfo.rds
9e4472df8e05523e4fabbfcdaddcdadd *Meta/package.rds
911c29661c24770558bdda2385777c8d *Meta/vignette.rds
8770ba7a2ffc47e0b6ffd512bffdf58a *NAMESPACE
ebf0fc819595d631b8bf280c4b049940 *R/kerastuneR
ecb07411dd721ba9f1b258a57b7316ba *R/kerastuneR.rdb
46b57d997e4733e909c17b408a704673 *R/kerastuneR.rdx
0dfec01de9b6add5da726203542fde31 *doc/BayesianOptimisation.R
6c0743dfcf23a0f1d46146c58cae21ff *doc/BayesianOptimisation.Rmd
652b301850ffe2d60cb07dc8b93850dd *doc/BayesianOptimisation.html
c62cd2465c562251f7f69268f7f04dee *doc/HyperModel_subclass.R
b016e4349538b9e27a233e435cee2797 *doc/HyperModel_subclass.Rmd
467c26b7e475d8b1c79012c1d279fe9d *doc/HyperModel_subclass.html
57f9018550663220cedb9307bfeceece *doc/Introduction.R
77aa872fca3d77c227743dcfec746eeb *doc/Introduction.Rmd
4ebc9eff4b6961270eaa7e4ea926618b *doc/Introduction.html
f3cff261283864dc2895a4cf60e57f44 *doc/MNIST.R
0f0dc697e49ee10740ae13776cde5921 *doc/MNIST.Rmd
af520ecf134cfeeb4c8a4ec204e16d09 *doc/MNIST.html
d96cc1820cb519e71f08360bbc5c14ed *doc/index.html
10209701b98d9330a5d2317cb5ef1899 *help/AnIndex
99e6b54ed21d2796c323e224be843b05 *help/aliases.rds
5bf02808a5e52b2cd6e2b39c99f998ad *help/kerastuneR.rdb
d9fdb5a1bacc8401e55973de24186e60 *help/kerastuneR.rdx
0dab0fa3fcfae2019a977eb14e1dc73d *help/paths.rds
170c99aa4b9064d500e4551511e4d788 *html/00Index.html
b6763e6916890c631fdc3f2643803b1a *html/R.css
