6bc0e4b9094cd96755acf04364940b50 *DESCRIPTION
bcaa49b3eaa95d87223f81d923dce304 *NAMESPACE
2159ce94432b8a57de7075b555b64f81 *R/HyperResNet_HyperXception.R
f128cac0a88c7510cc79ccaf901720d8 *R/Hyperclass.R
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b8a3271dc7014e0650dee1b731dbcacb *R/package.R
1cb044e7b42d7940998e5c0becced439 *R/plot_keras_model.R
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748d9d9475ea672c7453de2b49117749 *R/random_search.R
0a236fa02a6a3200985292442a17686b *R/reexports.R
963e85ce7220769ab7896cde4315cc46 *R/save_load.R
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8daf3bcdc69854c8d8f293a00c79030f *R/tensorboard.R
3d83e2da03ccd73ec823a42483455457 *R/version.R
e063c83eab0e2d56df14d78f111bfc99 *README.md
523d312690d4c89a2091466137716d47 *build/vignette.rds
982a419a208896b5beaa4837c3dd228c *inst/doc/BayesianOptimisation.R
3fc361fdf9b4701b3cea1ce648a6a258 *inst/doc/BayesianOptimisation.Rmd
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4ebc9eff4b6961270eaa7e4ea926618b *inst/doc/Introduction.html
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1c38f04b201e30056ae182c7f3d9f032 *man/BayesianOptimization.Rd
6c9eb385ecf35699dd6d57ffc091ca6e *man/HyperModel_class.Rd
6b027e6a9003bcfaf21b12ffc24f5058 *man/HyperParameters.Rd
6fe4c2ce7bfb3f32f4a3a285c295dc84 *man/HyperResNet.Rd
2e303aee57105f381e41dca0ebe15597 *man/HyperXception.Rd
5d26d31341835393652266bb27398674 *man/Hyperband.Rd
0bb6123f64d10e1d51cc1816044267cf *man/Objective.Rd
0f9dfdd74e4e8f7d1b0c446ac6faf5b4 *man/Oracle.Rd
ee2869093d2c03ddd16986412e99dc41 *man/RandomSearch.Rd
89e42c428dbaf955040f23157a8a2de8 *man/TensorBoard.Rd
441ddbc2f05c13d67805a578f57a2793 *man/Tuner_class.Rd
8cbeb630017d1c242e6a16f72a233102 *man/fit_tuner.Rd
1d3d5c8b6432b6f0edd926f8a7b95c60 *man/get_best_models.Rd
3fcba4de02c28002db9519ef6aa9b5ca *man/install_kerastuner.Rd
79fb30e7b0b3e0f220d128034980c828 *man/keras_tuner_version.Rd
d471b3a63696f61cb565bd19a5c48d6d *man/load_model.Rd
d211dc103fdbb1b95d8aea4b7ddd088c *man/plot_keras_model.Rd
6ef2590e2ff3c6cc1a16f50f8ffd6ab7 *man/plot_tuner.Rd
6d3cf59b9e51eebb5514929bc11191ce *man/reexports.Rd
1e12a2a07c1f5045ea0fcb85e001d81e *man/results_summary.Rd
af1bdd1a13ad91a77c60495bf3d30acc *man/save_model.Rd
2e587c3d5dcd4ea0da15770e14539147 *man/search_summary.Rd
1b5f38085bf5348663c5e8684fd51ec7 *tests/testthat.R
6eaef015aee10eb70cd99bc18365b994 *tests/testthat/test-BayesOptim.R
4fc2b13b3c575ceac99b0f98e6faaaf1 *tests/testthat/test-MNIST-conv.R
65a351b67153c2415a0643b24a97e8d4 *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
3fc361fdf9b4701b3cea1ce648a6a258 *vignettes/BayesianOptimisation.Rmd
f3f6f655b84913dc4b546c9bebfd4fa8 *vignettes/BayesianOptimisation.md
b016e4349538b9e27a233e435cee2797 *vignettes/HyperModel_subclass.Rmd
31d43c41ceb94d9a11b4c08fd58bc3f3 *vignettes/HyperModel_subclass.md
77aa872fca3d77c227743dcfec746eeb *vignettes/Introduction.Rmd
1ee13b176c424b82154a39864dacd4cc *vignettes/Introduction.md
0f0dc697e49ee10740ae13776cde5921 *vignettes/MNIST.Rmd
a6995db11ce863870a646f65f3fc9731 *vignettes/MNIST.md
