pred_Y = fcnnpredict (Mdl, XC) requires the following input arguments.

• Mdl : A structure containing the trained model parameters as generated by the fcnntrain function.
• X : An $N\times M$ matrix containing the data set to be predicted upon. Rows $N$ correspond to individual samples and columns $M$ correspond to features (dimensions). Type of X must be double and the number of features must correspond to those of the trained model.

fcnnpredict returns the predicted labels, pred_Y, and if a second output argument is requested, it also returns the corresponding values of the neural networks output in scores.

See also: fcnntrain, fitcnet, ClassificationNeuralNetwork

Source Code: fcnnpredict