- Accumulate
- Specify the names of the input table columns that need to be copied from input test table to output.
- OutputProb
- Specify whether the function outputs the probability for each response. Only applicable if ModelType is CLASSIFICATION. Default value is false.
- Responses
- Specify the class labels to output probabilities. Only applicable if OutputProb is true. A label must be 0 or 1. If not specified, the function outputs the probability of the predicted response.
- Kernel
- Specifies the type of kernel used to create the model. Acceptable values are Linear and RBF.
The value provided to this argument should be the same as value used to generate the model used by the predict. For example, TD_SVM used non-linear kernel (RBF) to generate the model, the TD_SVMPredict should use the same value for kernel.
Default: Linear
- NComponents
- This hyperparameter is only used if the 'Kernel' is set to 'RBF' (non-linear kernel).
Specifies the number of Monte Carlo samples per original feature. Equals the dimensionality of the computed feature space.
The value given to this parameter in TD_OneClassSVMPredict should be the same as TD_OneClassSVM.
Default: 100