Package: DamiaNN 1.0.0
DamiaNN: Neural Network Numerai
Interactively train neural networks on Numerai, <https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.
Authors:
DamiaNN_1.0.0.tar.gz
DamiaNN_1.0.0.zip(r-4.5)DamiaNN_1.0.0.zip(r-4.4)DamiaNN_1.0.0.zip(r-4.3)
DamiaNN_1.0.0.tgz(r-4.4-any)DamiaNN_1.0.0.tgz(r-4.3-any)
DamiaNN_1.0.0.tar.gz(r-4.5-noble)DamiaNN_1.0.0.tar.gz(r-4.4-noble)
DamiaNN_1.0.0.tgz(r-4.4-emscripten)DamiaNN_1.0.0.tgz(r-4.3-emscripten)
DamiaNN.pdf |DamiaNN.html✨
DamiaNN/json (API)
| # Install 'DamiaNN' in R: |
| install.packages('DamiaNN', repos = c('https://the-wayvy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/the-wayvy/damiann/issues
Last updated 4 years agofrom:4d2a1a2222. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 24 2024 |
| R-4.5-win | OK | Aug 24 2024 |
| R-4.5-linux | OK | Aug 24 2024 |
| R-4.4-win | OK | Aug 24 2024 |
| R-4.4-mac | OK | Aug 24 2024 |
| R-4.3-win | OK | Aug 24 2024 |
| R-4.3-mac | OK | Aug 24 2024 |
Exports:Start
Dependencies:briocallrcaretclasscliclockcodetoolscolorspacecpp11crayondata.tabledescdiagramdiffobjdigestdplyre1071evaluatefansifarverforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgbuildpkgconfigpkgloadplyrpraisepROCprocessxprodlimprogressrproxypspurrrR6RColorBrewerRcpprecipesrematch2reshape2rlangrpartrprojrootscalesshapeSQUAREMstringistringrsurvivaltestthattibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| back prop | back_propogation,Neural_Network,numeric,numeric,numeric-method |
| f_prop | forward_propogation,Neural_Network,matrix-method |
| cost | Get_Cost,Neural_Network,numeric-method |
| log loss | Get_LogLoss |
| num observs | Get_Number_Observations,Neural_Network-method |
| init | initialize,Neural_Network-method |
| Neural Network implementation | Neural_Network-class |
| predict stuff | Predict,Neural_Network,data.frame-method |
| start script | Start |
| train the NN | Train,Neural_Network,data.frame,numeric,numeric,numeric-method |
