Package: NORMA 0.1
NORMA: Builds General Noise SVRs
Builds general noise SVR models using Naive Online R Minimization Algorithm, NORMA, an optimization method based on classical stochastic gradient descent suitable for computing SVR models in an online setting.
Authors:
NORMA_0.1.tar.gz
NORMA_0.1.zip(r-4.5)NORMA_0.1.zip(r-4.4)NORMA_0.1.zip(r-4.3)
NORMA_0.1.tgz(r-4.4-any)NORMA_0.1.tgz(r-4.3-any)
NORMA_0.1.tar.gz(r-4.5-noble)NORMA_0.1.tar.gz(r-4.4-noble)
NORMA_0.1.tgz(r-4.4-emscripten)NORMA_0.1.tgz(r-4.3-emscripten)
NORMA.pdf |NORMA.html✨
NORMA/json (API)
| # Install 'NORMA' in R: |
| install.packages('NORMA', repos = c('https://jesuspradaalonso.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:c11f9c212d. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | NOTE | Nov 08 2024 |
| R-4.5-linux | NOTE | Nov 08 2024 |
| R-4.4-win | NOTE | Nov 08 2024 |
| R-4.4-mac | NOTE | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:beta_cost_derbeta_mlefgaussian_kernelgeneral_gaussian_cost_dergeneral_gaussian_mlegeneral_laplace_cost_dergeneral_laplace_mleILF_cost_derlinear_kernelmle_parametersmoge_cost_dermoge_mleNORMAweibull_cost_derweibull_mlezero_gaussian_cost_derzero_gaussian_mlezero_laplace_cost_derzero_laplace_mle
Dependencies:rootSolve
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Predictor Function | f |
| Cost Functions Derivatives | beta_cost_der general_gaussian_cost_der general_laplace_cost_der ILF_cost_der moge_cost_der weibull_cost_der zero_gaussian_cost_der zero_laplace_cost_der |
| Kernels | gaussian_kernel linear_kernel |
| MLE Parameters | beta_mle general_gaussian_mle general_laplace_mle mle_parameters moge_mle weibull_mle zero_gaussian_mle zero_laplace_mle |
| NORMA Optimization | NORMA |
