Package: kerastuneR 0.1.0.7

Turgut Abdullayev

kerastuneR: Interface to 'Keras Tuner'

'Keras Tuner' <https://keras-team.github.io/keras-tuner/> is a hypertuning framework made for humans. It aims at making the life of AI practitioners, hypertuner algorithm creators and model designers as simple as possible by providing them with a clean and easy to use API for hypertuning. 'Keras Tuner' makes moving from a base model to a hypertuned one quick and easy by only requiring you to change a few lines of code.

Authors:Turgut Abdullayev [aut, cre], Google Inc. [cph]

kerastuneR_0.1.0.7.tar.gz
kerastuneR_0.1.0.7.zip(r-4.5)kerastuneR_0.1.0.7.zip(r-4.4)kerastuneR_0.1.0.7.zip(r-4.3)
kerastuneR_0.1.0.7.tgz(r-4.4-any)kerastuneR_0.1.0.7.tgz(r-4.3-any)
kerastuneR_0.1.0.7.tar.gz(r-4.5-noble)kerastuneR_0.1.0.7.tar.gz(r-4.4-noble)
kerastuneR_0.1.0.7.tgz(r-4.4-emscripten)kerastuneR_0.1.0.7.tgz(r-4.3-emscripten)
kerastuneR.pdf |kerastuneR.html✨
kerastuneR/json (API)

Peer review:

Bug tracker:https://github.com/eagerai/kerastuner/issues

On CRAN:

hyperparameter-tuninghypertuningkeraskeras-tunertensorflowtrial

26 exports 32 stars 2.55 score 99 dependencies 46 scripts 522 downloads

Last updated 5 months agofrom:d9ab72f540. Checks:OK: 7. Indexed: yes.

Exports:BaseTunerBayesianOptimizationcallback_tunerfit_tunerget_best_modelsHyperbandHyperModel_classHyperParametersHyperResNetHyperXceptioninstall_kerastunerkeras_tuner_versionload_modelObjectiveOracleplot_keras_modelplot_tunerPyClassRandomSearchresults_summarysave_modelsearch_summaryTensorBoardtfTuner_classuse_python

Dependencies:askpassassertthatbackportsbase64encbroombslibcachemclicolorspacecommonmarkconfigcorrplotcountrycodecpp11crayoncrosstalkcurldata.tabledigestdplyrecharts4revaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtableherehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagickmagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypngprocessxpromisespspurrrR6rappdirsRColorBrewerRcppRcppTOMLreticulaterjsonRJSONIOrlangrmarkdownrprojrootrstudioapisassscalesshinysourcetoolsstringistringrsystensorflowtfautographtfrunstibbletidyjsontidyrtidyselecttinytexutf8vctrsviridisLitewhiskerwithrxfunxtableyaml