18bd3a51a950cc6c1c73fa242f4bce6c *DESCRIPTION
8770ba7a2ffc47e0b6ffd512bffdf58a *NAMESPACE
2dc342698210787966f95c532fc2d8ef *R/HyperResNet_HyperXception.R
99f9b7df4df8a1be9ee0781eaf7a9789 *R/Hyperclass.R
d661e609b3ef5baae1addb51f1c6e4de *R/bayesian_optimisation.R
c310b367b17c718ed34eedb00e1aee2a *R/generate_sticker.R
829f880127928b1a78ac25f3e9292202 *R/install.R
b8a3271dc7014e0650dee1b731dbcacb *R/package.R
f3222eea850f0c35123bae5c2e5fea50 *R/plot_tuner.R
6361dda787146164f115bee4d4cea168 *R/random_search.R
0a236fa02a6a3200985292442a17686b *R/reexports.R
92595a8b718630083dbabadd3ab7c677 *R/search.R
b5a3efb8842d61c7a2a1ee636395db9a *R/search_summary.R
0c5012fa1b10e3c275ffc2da80ae8b97 *README.md
911c29661c24770558bdda2385777c8d *build/vignette.rds
0dfec01de9b6add5da726203542fde31 *inst/doc/BayesianOptimisation.R
6c0743dfcf23a0f1d46146c58cae21ff *inst/doc/BayesianOptimisation.Rmd
652b301850ffe2d60cb07dc8b93850dd *inst/doc/BayesianOptimisation.html
c62cd2465c562251f7f69268f7f04dee *inst/doc/HyperModel_subclass.R
b016e4349538b9e27a233e435cee2797 *inst/doc/HyperModel_subclass.Rmd
467c26b7e475d8b1c79012c1d279fe9d *inst/doc/HyperModel_subclass.html
57f9018550663220cedb9307bfeceece *inst/doc/Introduction.R
77aa872fca3d77c227743dcfec746eeb *inst/doc/Introduction.Rmd
4ebc9eff4b6961270eaa7e4ea926618b *inst/doc/Introduction.html
f3cff261283864dc2895a4cf60e57f44 *inst/doc/MNIST.R
0f0dc697e49ee10740ae13776cde5921 *inst/doc/MNIST.Rmd
af520ecf134cfeeb4c8a4ec204e16d09 *inst/doc/MNIST.html
e01b195789689c5248394273b3591eb5 *man/BayesianOptimization.Rd
6c9eb385ecf35699dd6d57ffc091ca6e *man/HyperModel_class.Rd
6b027e6a9003bcfaf21b12ffc24f5058 *man/HyperParameters.Rd
57a7bf78689333dfd4ba9f0088d5d9fd *man/HyperResNet.Rd
90b22aea2bec2ebda50457e48c22b200 *man/HyperXception.Rd
6a757f72969bbb2fc3accb50916597e3 *man/Hyperband.Rd
0bb6123f64d10e1d51cc1816044267cf *man/Objective.Rd
e34a720d642aaedd0f1344912f45fc87 *man/RandomSearch.Rd
441ddbc2f05c13d67805a578f57a2793 *man/Tuner_class.Rd
7cd65321098c3d75d41f1ab87a7f767b *man/fit_tuner.Rd
1d3d5c8b6432b6f0edd926f8a7b95c60 *man/get_best_models.Rd
1f70402e29488bf15f8dfea5637ce840 *man/install_kerastuner.Rd
c1ace67420ab232af55af0b3146e921b *man/plot_tuner.Rd
6d3cf59b9e51eebb5514929bc11191ce *man/reexports.Rd
1e12a2a07c1f5045ea0fcb85e001d81e *man/results_summary.Rd
2e587c3d5dcd4ea0da15770e14539147 *man/search_summary.Rd
1b5f38085bf5348663c5e8684fd51ec7 *tests/testthat.R
ec99195af42d6137e405626baad92245 *tests/testthat/test-BayesOptim.R
4fc2b13b3c575ceac99b0f98e6faaaf1 *tests/testthat/test-MNIST-conv.R
1d1d9737c90ca204f3cd6a9b97f6cc68 *tests/testthat/test-build.R
8a923a4e5e1c33ddfe29796ccec11c25 *tests/testthat/test-hp-space.R
7e0c7e61dcb861a9333ca71decf0a366 *tests/testthat/test-hyper_class.R
165f0601439efa60e6dc6a1e9c18b107 *tests/testthat/test-resnet.R
b14664cce6c5ad16353d0046c0035a14 *tests/testthat/utils.R
6c0743dfcf23a0f1d46146c58cae21ff *vignettes/BayesianOptimisation.Rmd
b016e4349538b9e27a233e435cee2797 *vignettes/HyperModel_subclass.Rmd
77aa872fca3d77c227743dcfec746eeb *vignettes/Introduction.Rmd
0f0dc697e49ee10740ae13776cde5921 *vignettes/MNIST.Rmd
