| EpochTrainerSetRandomSamples Method |
Sets the random number generators used to select random training
patterns in stage I.
Namespace: Imsl.DataMining.NeuralAssembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
Syntaxpublic virtual void SetRandomSamples(
Random randomA,
Random randomB
)
Public Overridable Sub SetRandomSamples (
randomA As Random,
randomB As Random
)
public:
virtual void SetRandomSamples(
Random^ randomA,
Random^ randomB
)
abstract SetRandomSamples :
randomA : Random *
randomB : Random -> unit
override SetRandomSamples :
randomA : Random *
randomB : Random -> unit Parameters
- randomA
- Type: Imsl.StatRandom
A Random object which is the first random number generator.
- randomB
- Type: Imsl.StatRandom
A Random object which is the second random number generator,
independent of randomA.
Remarks
The two random number generators should be independent.
See Also