Predicts response(s) for the provided sample(s)

[results,f] = model.predict(samples)
[...] = model.predict(..., 'OptionName', optionValue, ...)

Input

• samples The input samples, floating-point matrix.

Output

• results Output matrix of posterior probabilities of each component given a sample. A double matrix of size nsamples-by-ClustersNumber.
• f If you pass one sample then this returns the zero-based index of the most probable mixture component for the given sample. Otherwise the result for the first sample is returned.

Options

• Flags The optional predict flags, model-dependent. Not used. default 0

Returns posterior probabilities for the provided samples.