This MATLAB function returns the Classification Loss (L), a scalar representing how well the generalized additive model Mdl classifies the predictor data in Tbl compared to the true class labels in Tbl.ResponseVarName.
Mdl = ClassificationGAM ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'b' 'g'} ScoreTransform: 'logit' Intercept: 2.2715 NumObservations: 351 Properties, Methods Mdl is a ClassificationGAM model object. The model display shows a partial list of the model properties. To view the ...
ans =struct with fields:PredictorTrees: 'Terminated after training the requested number of trees.' InteractionTrees: 'Terminated after training the requested number of trees.' Compute the regression loss for the training data. resubLoss(Mdl) ...
This MATLAB function returns the Classification Margin (m) for the generalized additive model Mdl using the predictor data in Tbl and the true class labels in Tbl.ResponseVarName.
Mdl = ClassificationGAM ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'b' 'g'} ScoreTransform: 'logit' Intercept: 2.2715 NumObservations: 351 Properties, Methods Mdl is a ClassificationGAM model object. The model display shows a partial list of the model properties. To view the ...
Mdl = ClassificationGAM ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'versicolor' 'virginica'} ScoreTransform: 'logit' Intercept: -1.1090 NumObservations: 70 Properties, Methods Mdl is a ClassificationGAM model object. Predict the test sample labels. Get label = predict(Mdl,XTest...
CVMdl = RegressionPartitionedGAM CrossValidatedModel: 'GAM' PredictorNames: {'Acceleration' 'Displacement' 'Horsepower' 'Weight'} ResponseName: 'MPG' NumObservations: 398 KFold: 10 Partition: [1×1 cvpartition] NumTrainedPerFold: [1×1 struct] ResponseTransform: 'none' IsStandardDeviationFit: ...
Generalized Discrete Fourier TransformAuto-Correlation functionCross- Cross Correlation functionBit InterferencePN SequenceCDMAGold CodesWalsh CodesThis paper deals with simulation of various spreading codes onreal time system using MATLAB environment. Binarysequences can be used in various spreading code ...
Matlab code used to generate this figure is available here:ggplot3.m. Mixture Densities A more general family of densities can be constructed from mixtures of Generalized Gaussians. A mixture density, , is made up of constituent densities ...
Matlab code used to generate this figure is available here:ggplot3.m. Mixture Densities A more general family of densities can be constructed from mixtures of Generalized Gaussians. A mixture density, , is made up of constituent densities ...