NumTrainCycles

Number of training cycles (default = 1). In any cycle either RULES or PARAMETERS are trained, or both, dependent on mode setting. This allows f.i. to optimize parameters after training a machine learning algorithm.

TrainCycle

The number of the current training cycle from 1 to NumTrainCycles, or 0 in [Test] or [Trade] mode.

Type:

int

Remarks:

Example:

set(PARAMETERS);
NumTrainCycles = 2; // 2 parameter optimization cycles

See also:

Training, optimize, TrainMode, NumWFOCycles, NumSampleCycles, NumTotalCycles, NumParameters ► latest version online