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-4.7-any)DamiaNN_1.0.0.zip(r-4.6-any)DamiaNN_1.0.0.zip(r-4.5-any)
DamiaNN_1.0.0.tgz(r-4.6-any)DamiaNN_1.0.0.tgz(r-4.5-any)
DamiaNN_1.0.0.tar.gz(r-4.7-any)DamiaNN_1.0.0.tar.gz(r-4.6-any)
DamiaNN_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:4d2a1a2222. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 146 | ||
| source / vignettes | OK | 209 | ||
| linux-release | OK | 170 | ||
| macos-release | OK | 223 | ||
| macos-oldrel | OK | 163 | ||
| windows-devel | OK | 100 | ||
| windows-release | OK | 128 | ||
| windows-oldrel | OK | 94 | ||
| wasm-release | OK | 100 |
Exports:Start
Dependencies:briocallrcaretclasscliclockcodetoolscpp11crayondata.tabledescdiagramdiffobjdigestdplyre1071evaluatefarverforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivotelparallellypillarpkgbuildpkgconfigpkgloadplyrpraisepROCprocessxprodlimprogressrproxypspurrrR6RColorBrewerRcpprecipesreshape2rlangrpartrprojrootS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltestthattibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewaldowithr
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 |