Grasshopper Docs

Community documentation for Grasshopper add-ons & plugins

Evolutionary Learning
Explicit Components
Loop
Octopus
Supervised Learning
Utilities
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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

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