gpPredict
Syntax
gpPredict(engine, input, [programNum=1], [groupCol],
[deviceId=0])
Arguments
engine is the engine object returned by
createGPLearnEngine.
input is a table where all columns are of floating-point type indicating the data for prediction.
programNum (optional) is an integer specifying the number of programs used for prediction.
groupCol (optional) is a string indicating the grouping column. The default is empty. The grouping column will not participate in calculation.
deviceId (optional) is an INT scalar or vector specifying the device ID to be used. The default value is 0.
Details
Use a number of programNum formulas with better fitness obtained from last training for prediction. Calculation will be conducted by group if groupCol is specified.
It returns a table with a number of programNum columns, where each column
corresponds to a formula trained by gpFit.