We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
Evolutionary Learning
Explicit Components
Loop
Octopus
Supervised Learning
Utilities
View

SVM Learning (oSL)

Train SVM and optionally estimate parameters using grid search and cross validation

Inputs

NameIDDescriptionType
InputInputTraining Sample Vectors, as list of list of numbersNumber
OutputOutputTraining Objective ValuesNumber
CCC Parameter, can be estimated by setting PE inputNumber
GGGamma Parameter, can be estimated by setting PE inputNumber
TypeTypeType of SVM: 0=EPSILON-Regression 1=NU-RegressionInteger
ParamEstimateParEstPerform Parameter Estimation using Grid Search, Cross Validation and Parallel Computation - ATTENTION CAN TAKE A LOT OF TIMEBoolean
TimeLimTimeLimApproximate Time Limit for Parameter Estimation in milliseconds, 0 for no limitNumber

Outputs

NameIDDescriptionType
SVMSVMTrained Support Vector MachineSVM
CCUsed C ParameterNumber
GGUsed G ParameterNumber

Site design © Robin Rodricks.   Octopus and associated data © 2024 Robert Vierlinger.  
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.  Hosted by GitHub

Report an Issue  |  Terms of Service