fe51a5101f797757a65b8efd93d8e8ad *DESCRIPTION
d6944415f0010d08defafe7935baa1ae *INDEX
aa942edaa51b317fa4c387a07cb95276 *Meta/Rd.rds
a5220c8fcf5a4598725b33188e4524d9 *Meta/features.rds
35d2661870a769f567d802f7dc72e6c1 *Meta/hsearch.rds
2a8c3284cc2814cebe6914daab5c2f21 *Meta/links.rds
0a64807cc0a28c842f41ab508c941bdf *Meta/nsInfo.rds
029a5a837aa46e9b4aef9aec83e74df7 *Meta/package.rds
477b30ec731906fe20615b42bcec4bf0 *Meta/vignette.rds
27f09abf84abfa0731a5625fbaff29bc *NAMESPACE
d6c68f1fe41ced6e98a766a3757313da *R/kerastuneR
f7229e9064c68a86e3dd5a8d4e5b881f *R/kerastuneR.rdb
30f7d2d7d15515b36cc2086243b1842b *R/kerastuneR.rdx
bf8aac368c04212f98d22c825dc7ae39 *doc/BayesianOptimisation.R
477b72e4e567b42dac74a7cf41772d78 *doc/BayesianOptimisation.Rmd
fe0f7da4bdd02df6047ce47c71f39cbc *doc/BayesianOptimisation.html
772f95427819026edde727e702a3c9ab *doc/HyperModel_subclass.R
35870ad3e8ca7bdc9252d58c7f665f59 *doc/HyperModel_subclass.Rmd
d74e3911065e161553d87723d24a14d1 *doc/HyperModel_subclass.html
c5cba823f1df2700bef66bef1df00c99 *doc/Introduction.R
518034bce7f62799fcfaba46493a0bc1 *doc/Introduction.Rmd
c5ae4a4b6643ace421fe98fa93f71b1d *doc/Introduction.html
26ed580b775e5945b34e90c6e3a26946 *doc/MNIST.R
8d6cf2e06f7c218939e103ce0dde021b *doc/MNIST.Rmd
3cd131358f3839e01132e7746cdbc0f3 *doc/MNIST.html
4e70e100b8cd022503c332715c8e5e4f *doc/best_practice.R
3ce913d18eddcc80b6db2c1d68706da9 *doc/best_practice.Rmd
53fb9f87f7b1ce1394c57406980b6e36 *doc/best_practice.html
8e96ac9b4aff54f1b2b00d112c4b63ea *doc/index.html
3ac946124bceefe7eb27199a1a6d1ff5 *help/AnIndex
039acd9d519f239496ea0584f8d79836 *help/aliases.rds
513c1395070c2c5b4866ee9e30dfddaf *help/kerastuneR.rdb
1ee1654d1f5b23dec6da1df9f95e8bf7 *help/kerastuneR.rdx
5bf421a3a299953d9d960b62024d6f5a *help/paths.rds
55c1aa90ade3c3895a1918baa9b30c8b *html/00Index.html
8b9362669af13540a86a3ac6cf22f99d *html/R.css
