ClassName= LearningParam    
    // Increase the importance of SOV and decrease importance of
    // encoding cost (compared to default)
    // train only the pseduocounts
    
    
    NetInitCenterWeight = 0
    NetInitRangeWeight = 0
    NetCenterDecay = 0.95
    NetRangeDecay =0.99
    
    NetResetAfter = 20
    NetResetWhenWorseBy = 1.3
    
    QRBestCostMult=0.5
    QRBestQMult = 1.0
    QRBestSOVMult = 1.5

    NetActWrongWeight = 1.3	 // extra weight for correcting wrong answers
    
    NetActChangeCorrectWeight = 1.60	 // extra weight for transitions
					 // where the correct answer changes
    ActPartialKluge = 0.2
    
    LayBaseTimesSeq = 0.001	// slow learning
    LayMaxBaseRate = 0.01
    LayWeightOverBase = 0.00
    LayWeightOverBaseForMult = 0.0
    LayPseudoOverBase = 1.0
    LayPseudoOverBaseForMult = 1.0
    LayBiasOverBase = 0.0
    LayBiasOverBaseForMult = 0.0
    LayGainOverBase = 0.0
    LayGainOverBaseForMult = 0.0
    LayDesiredSqOverNumWeights = 0.06
    
    LayGainExtConst = 0.0
    LayBiasExtConst = 0.0
    LayPseudoExtConst = 8.0e-6
    LayGainExtConstForMult = 0.0
    LayBiasExtConstForMult = 0.0
    LayPseudoExtConstForMult = 4.0e-5
    
    LayWindowShapeExp = 0.5

    LayMaxWeight=5.00
    LayMaxWeightChange=0.01
    LayMaxPseudo = 1.0
    LayMaxPseudoChange = 0.1
    
    LayMaxBias=10.0	 // old code limited bias to window size,
			 // which may be better
    LayMaxBiasChange=0.1
    
    LayMaxGain=2.0	 // keep gain in [1/MaxGain, MaxGain]
    LayMaxGainChange = 1.5	 // scale by [1/GainChange, GainChange]
    
    LayMainObjWeight= 1.0
    LayMainObjWeightForMult=1.0
    LayMainObjPseudo= 1.0
    LayMainObjPseudoForMult = 1.0
    
    LayMainObjBias=0.1
    LayMainObjBiasForMult=0.5
    
    LayMainObjGain = 1.0
    LayMainObjGainForMult =1.0
    
    LayMaxWeightRateFactor = 2.0
//    LayMaxPseudoRateFactor = 2.0	// bug--not read correctly
    LayMaxBiasRateFactor = 1.1
//    LayMaxGainRateFactor = 1.1	// bug--not read correctly
    
    LayWeightRateDecay=0.99
    LayPseudoRateDecay = 0.995
//    LayBiasRateDecayForLowerCost = 1.2 	// bug--not read correctly
//    LayBiasRateDecayForHigherCost=0.88	// bug--not read correctly
//    LayGainRateDecayForLowerCost = 1.1 	// bug--not read correctly
//    LayGainRateDecayForHigherCost=0.7		// bug--not read correctly
    
    LayRangeMult = 0.6
    LayRangeDenom = 0.4
    LayRangeMinForMult = 0.1
    
    LayTotalInitialPseudo = 1.0

EndClassName= LearningParam