as.character | Convert a 'FittedFunctionalModel' to a String |
FittedFunctionalModel.as.character | Convert a 'FittedFunctionalModel' to a String |
FittedFunctionalModel-class | A Fitted Functional Model |
FittedFunctionalModel.finalize | Finalize a Fitted Functional Model |
FittedFunctionalModel.new | Helper Method to Create a Fitted Functional Model |
FunctionalModel.defaultLearners | Get the Default Learners |
FunctionalModel.fit | Fit the Given Model Blueprint to the Specified Data |
FunctionalModel.fit.cmaes | Use CMA-ES to Optimize the Parameters |
FunctionalModel.fit.de | Use Differential Evolution to Optimize the Parameters |
FunctionalModel.fit.dfoptim | Use Derivative-Free Local Searches to Optimize the Parameters |
FunctionalModel.fit.lbfgsb | Use the L-BFGS-B Algorithm from the 'optim' Method of the... |
FunctionalModel.fit.minqa | Use Powell's BOBYQA Approach to Optimize the Parameters |
FunctionalModel.fit.nls | Apply a the Standard Non-Linear Least Squares Approach from... |
FunctionalModel.fit.nlslm | Apply a Levenberg-Marquardt Algorithm to Fit a Functional... |
FunctionalModel.fit.optim | Use the 'optim' Method from the 'stats' Package for Fitting a... |
FunctionalModel.fit.pso | Use the 'psoptim' Method from the 'pso' Package for Fitting a... |
FunctionalModel.fit.transformed | Fit the Given Model Blueprint to the Specified Data |
FunctionalModel.makeLearners | Create Learners for the Given Set of Models |
FunctionalModel.monotonousLearners | Get the Default Learners for Monotonously Decreasing Models |
TransformedFittedFunctionalModel.as.character | Convert a 'TransformedFittedFunctionalModel' to a String |
TransformedFittedFunctionalModel-class | A Functional Model Fitted on Transformed Data |
TransformedFittedFunctionalModel.finalize | Finalize a Fitted Transformed Functional Model |
TransformedFittedFunctionalModel.new | Helper Method to Create a Transformed Fitted Functional Model |
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