//Constructor
/// <summary>
/// Constructs an instance of State Machine
/// </summary>
/// <param name="settings">State Machine settings</param>
/// <param name="inputRange">Range of input values</param>
public StateMachine(StateMachineSettings settings, Interval inputRange)
{
_settings = settings.DeepClone();
//Random object
if (_settings.RandomizerSeek < 0)
{
_rand = new System.Random();
}
else
{
_rand = new System.Random(_settings.RandomizerSeek);
}
//Build structure
//Reservoir instance(s)
_numOfPredictors = 0;
_reservoirInstanceCollection = new List <ReservoirInstance>(_settings.ReservoirInstanceDefinitionCollection.Count);
foreach (StateMachineSettings.ReservoirInstanceDefinition instanceDefinition in _settings.ReservoirInstanceDefinitionCollection)
{
ReservoirInstance reservoirInstance = new ReservoirInstance(instanceDefinition, _settings.RandomizerSeek, inputRange);
_reservoirInstanceCollection.Add(reservoirInstance);
_numOfPredictors += reservoirInstance.ReservoirObj.NumOfOutputPredictors;
}
if (_settings.RouteInputToReadout)
{
_numOfPredictors += _settings.InputFieldNameCollection.Count;
}
//Readout layer
_readoutLayer = new ReadoutLayer(_settings.TaskType, _settings.ReadoutLayerConfig, _rand);
return;
}
//Constructor
/// <summary>
/// Creates an initialized instance.
/// </summary>
/// <param name="preprocessorCfg">The configuration of the neural preprocessor.</param>
/// <param name="randomizerSeek">The random number generator initial seek.</param>
public NeuralPreprocessor(NeuralPreprocessorSettings preprocessorCfg, int randomizerSeek)
{
_preprocessorCfg = (NeuralPreprocessorSettings)preprocessorCfg.DeepClone();
TotalNumOfHiddenNeurons = 0;
///////////////////////////////////////////////////////////////////////////////////
//Input encoder
_inputEncoder = new InputEncoder(_preprocessorCfg.InputEncoderCfg);
///////////////////////////////////////////////////////////////////////////////////
//Reservoir instance(s)
BootCycles = 0;
//Random generator used for reservoir structure initialization
Random rand = (randomizerSeek < 0 ? new Random() : new Random(randomizerSeek));
ReservoirCollection = new List <ReservoirInstance>(_preprocessorCfg.ReservoirInstancesCfg.ReservoirInstanceCfgCollection.Count);
int reservoirInstanceID = 0;
int defaultBootCycles = 0;
foreach (ReservoirInstanceSettings reservoirInstanceCfg in _preprocessorCfg.ReservoirInstancesCfg.ReservoirInstanceCfgCollection)
{
ReservoirStructureSettings structCfg = _preprocessorCfg.ReservoirStructuresCfg.GetReservoirStructureCfg(reservoirInstanceCfg.StructureCfgName);
ReservoirInstance reservoir = new ReservoirInstance(reservoirInstanceID++,
structCfg,
reservoirInstanceCfg,
_inputEncoder,
rand
);
ReservoirCollection.Add(reservoir);
TotalNumOfHiddenNeurons += reservoir.Size;
defaultBootCycles = Math.Max(defaultBootCycles, reservoir.GetDefaultBootCycles());
}
//Boot cycles setup
if (_preprocessorCfg.InputEncoderCfg.FeedingCfg.FeedingType == InputEncoder.InputFeedingType.Continuous)
{
FeedingContinuousSettings feedingCfg = (FeedingContinuousSettings)preprocessorCfg.InputEncoderCfg.FeedingCfg;
BootCycles = feedingCfg.BootCycles == FeedingContinuousSettings.AutoBootCyclesNum ? defaultBootCycles : feedingCfg.BootCycles;
}
else
{
BootCycles = 0;
}
//Output features
_totalNumOfReservoirsPredictors = 0;
_predictorsTimePointSlicesPlan = null;
PredictorDescriptorCollection = null;
OutputFeatureGeneralSwitchCollection = null;
NumOfActivePredictors = 0;
return;
}
