205d203d0229e509fc68f7679d2536dd *DESCRIPTION
a1d6fc8c132dcaf92617ed81fe5e6a3b *INDEX
c06793ab8ff4804c48815188fe95ad07 *Meta/Rd.rds
4d1492de7968466564e971368d24d147 *Meta/features.rds
2b696802cbfb7f5c02bb0d74939cf6c7 *Meta/hsearch.rds
27af6b52c81a2b8b186fa2a1125bd591 *Meta/links.rds
5ade17ba2d0606883a59c4d69d191bf9 *Meta/nsInfo.rds
244c1088e1f18a48cab353d158da8320 *Meta/package.rds
52d46d0dc657bfb487c774cd96f148fa *Meta/vignette.rds
79d042f12df7a665fadc777a065a0adf *NAMESPACE
d6c68f1fe41ced6e98a766a3757313da *R/kerastuneR
ed1fde309ac149b0778bdf02836f6d8b *R/kerastuneR.rdb
5e7c5d68d28e84473f2c0da746185c5a *R/kerastuneR.rdx
982a419a208896b5beaa4837c3dd228c *doc/BayesianOptimisation.R
3fc361fdf9b4701b3cea1ce648a6a258 *doc/BayesianOptimisation.Rmd
63d4c9beca60650f843e68e2251107e6 *doc/BayesianOptimisation.html
c62cd2465c562251f7f69268f7f04dee *doc/HyperModel_subclass.R
b016e4349538b9e27a233e435cee2797 *doc/HyperModel_subclass.Rmd
9a5e178fea88395f92e28b314e1d3963 *doc/HyperModel_subclass.html
57f9018550663220cedb9307bfeceece *doc/Introduction.R
ff01006eb313041dc5d2b503b01a51e1 *doc/Introduction.Rmd
5178c34107ebaf98294db4f29769a441 *doc/Introduction.html
71ad589b0f0698326e19b0576894bfd4 *doc/MNIST.R
13b9cae731badee091b91f8896b1aab5 *doc/MNIST.Rmd
7f9d4f8a701b01208744843a6bd0faa4 *doc/MNIST.html
aa66b666391b9b9f44c9640bdba71e2e *doc/best_practice.R
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fac94487a87b2c93c574396540c20bdb *doc/best_practice.html
0b34a307a297082b7759dca0b19420f4 *doc/index.html
3ac946124bceefe7eb27199a1a6d1ff5 *help/AnIndex
5b5491408cb5d2d7c855f52fd4605c0e *help/aliases.rds
cca4f6f82a88b9bf0dee39b1ac501354 *help/kerastuneR.rdb
507621c9d87f9dba6de623df4fafd9a8 *help/kerastuneR.rdx
03b6b27d97b7a22ba43cb692d144157a *help/paths.rds
ca6b4044591526a8ab0427a43dd06c61 *html/00Index.html
b6763e6916890c631fdc3f2643803b1a *html/R.css
