Returns the result of each individual tree in the forest

votes = model.getVotes(samples)
votes = model.getVotes(..., 'OptionName',optionValue, ...)

Input

• samples matrix containing the samples for which votes will be calculated.

Output

• votes matrix of the result of the calculation.

Options

• Flags Flags for defining the type of RTrees. For convenience, you can set the individual flag options below, instead of directly setting bits here. default 0
• RawOutput See the predict method. default false
• CompressedInput See the predict method. default false
• PreprocessedInput See the predict method. default false
• PredictAuto See the predict method. default false
• PredictSum See the predict method. default false
• PredictMaxVote See the predict method. default false

In case the model is a regression problem, the method will return each of the trees' results for each of the sample cases, i.e nsamples-by-ntrees matrix. If the model is a classifier, it will return a matrix with nsamples + 1 rows, where the first row gives the class number and the following rows return the votes each class had for each sample, i.e (nsamples+1)-by-nclasses matrix.