17b604ecf11515169655e1439f717968 *DESCRIPTION
79d042f12df7a665fadc777a065a0adf *NAMESPACE
22b1ad46cfd2ab92df551edb52e7554c *R/BaseTuner.R
b2125973779707a971cd0d481fd42018 *R/HyperResNet_HyperXception.R
2a463e45ba86ad6ba4d34ef5b474e00e *R/Hyperclass.R
5367b09e0f95d9e88fcb5eabb7b7e720 *R/bayesian_optimisation.R
c310b367b17c718ed34eedb00e1aee2a *R/generate_sticker.R
38a342fe4829052615ca2c49c8ca3008 *R/install.R
6ebbb5796fcf285b421faf9d7eabb7e5 *R/oracle.R
df74ebf538684cd658edf61de180be48 *R/package.R
1cb044e7b42d7940998e5c0becced439 *R/plot_keras_model.R
94160645e566119976577b58cf634d20 *R/plot_tuner.R
5ee36c3c496e9b7f7ff484943e3a955a *R/random_search.R
0a236fa02a6a3200985292442a17686b *R/reexports.R
d83ef6fdfe2995dd4a533e3fa3f6fda2 *R/save_load.R
1636d9870515da5f0353fa86bb5653a1 *R/search.R
b5a3efb8842d61c7a2a1ee636395db9a *R/search_summary.R
8daf3bcdc69854c8d8f293a00c79030f *R/tensorboard.R
0af2423743a365b0be20dc5320b2f4eb *R/tuner_callback.R
3d83e2da03ccd73ec823a42483455457 *R/version.R
c6f50f26b7af67ebd6de6221e0e98b62 *README.md
aab67560f650c30a369d5147d95a0166 *build/vignette.rds
982a419a208896b5beaa4837c3dd228c *inst/doc/BayesianOptimisation.R
3fc361fdf9b4701b3cea1ce648a6a258 *inst/doc/BayesianOptimisation.Rmd
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ff01006eb313041dc5d2b503b01a51e1 *inst/doc/Introduction.Rmd
726a854a8162286c5637d0020040b2c6 *inst/doc/Introduction.html
71ad589b0f0698326e19b0576894bfd4 *inst/doc/MNIST.R
0cec74dc1949c02abdd6ebeaef3ebff2 *inst/doc/MNIST.Rmd
43556b49dfe4c6981b1d2ac241fb81d7 *inst/doc/MNIST.html
aa66b666391b9b9f44c9640bdba71e2e *inst/doc/best_practice.R
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eadfa66ae97d9c6e9c1a3ee4b43ee687 *man/BaseTuner.Rd
70aa3b8a758e6a3300c3389658cfe0e1 *man/BayesianOptimization.Rd
08cad0ce98ad8842d68b78440a1788d7 *man/HyperModel_class.Rd
6b027e6a9003bcfaf21b12ffc24f5058 *man/HyperParameters.Rd
bebb7511090b2e2e79497cefbd4f4b5e *man/HyperResNet.Rd
daed9858af016c463c1bddb569dbc7c5 *man/HyperXception.Rd
4964ecf790b196dba9c4423dc9e65c39 *man/Hyperband.Rd
8d77e198139c1671f7497f8226a79cd4 *man/Objective.Rd
5a12dc73b6677bfa20308883f40561ce *man/Oracle.Rd
bdf069652936b31b49315554e1b4d8ad *man/RandomSearch.Rd
89e42c428dbaf955040f23157a8a2de8 *man/TensorBoard.Rd
c712abd3bdab2848cbd7e10ae991d870 *man/Tuner_class.Rd
5d672a7b2426b3cb59d133235d0ab3c2 *man/callback_tuner.Rd
a369d8229c2c900c6caca005536676c8 *man/fit_tuner.Rd
1d3d5c8b6432b6f0edd926f8a7b95c60 *man/get_best_models.Rd
da762022f0c049f9d15a33254cb450c8 *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
ac588295838563a460bf26b86077207a *tests/testthat.R
33b55ea0b0a5d0e6b0efde9acb30d8e6 *tests/testthat/test-BayesOptim.R
fadf6ff197907d7b5e8a740b9766c488 *tests/testthat/test-MNIST-conv.R
da9f00931fe8c6431ad172ff4c7c5e78 *tests/testthat/test-build.R
6981787de5e46c58251e4c93d65bc924 *tests/testthat/test-hp-space.R
c3dd544d1bc7df99b0b80604e9907de0 *tests/testthat/test-hyper_class.R
3c637b5a0f73805417c03799b5ff8dbf *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
ff01006eb313041dc5d2b503b01a51e1 *vignettes/Introduction.Rmd
cafca2e5028ceb57f0e22df16f6db70f *vignettes/Introduction.md
0cec74dc1949c02abdd6ebeaef3ebff2 *vignettes/MNIST.Rmd
a6995db11ce863870a646f65f3fc9731 *vignettes/MNIST.md
d6849be88d61a57909656bbf1784a8c0 *vignettes/best_practice.Rmd
