Functions by Category
Local Model Toolbox
Contents
Local Model Network Training
- LMNTrain - Train and compare local model networks
Common Functions
- train - Train a local model
Plot Functions
- plotCorrelation - Plot the correlation between model output and training, validation and test data
- plotLossFunction - Plot the global and penalty lossfunctions
- plotModel - Plot the model output of a trained model
- plotPartition - Plot the validity funciton values of the premise input space (z-regressors) of the neuro-fuzzy model (1- or 2-dimensional plot only)
Algorithms
- lolimot - Local Linear Model Tree
- hilomot - Hirachic Local Model Tree
Common Classes
- dataSet - This class generates a dataSet object, which stores measured data. Beneath the ability to store data, there are methods to normalize/denormalize the data and to set a name for the whole dataSet as well as for the various in- and outputs.
- dataSetInfo - This class generates creates an object, that contains information about a dataSet object, such as the dataSet description and the description of all in- and outputs.