Base comparer class (implementation of the IComparer<NeuralTrainingParameters> interface) for conmparing objects of type NeuralTrainingParameters
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Base comparer class (implementation of the IComparer<NeuralTrainingParameters> interface) for conmparing objects of type NeuralTrainingParameters
double IG.Num.NeuralTrainingParameters.ComparerBase.OutputNorm |
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IVector |
vec | ) |
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IVector IG.Num.NeuralTrainingParameters.ComparerBase._outputScalingLengths |
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bool IG.Num.NeuralTrainingParameters.ComparerBase._compareMinError = false |
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int IG.Num.NeuralTrainingParameters.ComparerBase._numLastErrors = 1 |
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int IG.Num.NeuralTrainingParameters.ComparerBase._numBundles = 0 |
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bool IG.Num.NeuralTrainingParameters.ComparerBase._compareByTrainingRmsError = true |
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bool IG.Num.NeuralTrainingParameters.ComparerBase._compareByTrainingMaxError = false |
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bool IG.Num.NeuralTrainingParameters.ComparerBase._compareByVerificationRmsError = false |
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bool IG.Num.NeuralTrainingParameters.ComparerBase._compareByVerificationMaxError = false |
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IVector IG.Num.NeuralTrainingParameters.ComparerBase.OutputScalingLengths |
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getset |
Vector of scaling lengths for calculation of weighted norms.
bool IG.Num.NeuralTrainingParameters.ComparerBase.CompareMinError |
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getset |
Whether the min error in convergence table is used for comparison when errors are compared. If false then mean value of last errors is used.
int IG.Num.NeuralTrainingParameters.ComparerBase.NumLastErrors |
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getset |
Number of last errors in convergence list for calculataing the mean value of error. The default valeu is 1 which represent the last error in the converhence list.
int IG.Num.NeuralTrainingParameters.ComparerBase.NumBundles |
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getset |
Number of bundles where sorting of convergences stars. The default valeu is 0 which represent normal sorting after the training is done.
bool IG.Num.NeuralTrainingParameters.ComparerBase.CompareByTrainingRmsError |
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getset |
bool IG.Num.NeuralTrainingParameters.ComparerBase.CompareByTrainingMaxError |
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getset |
Whether Maximal absolute training errors from convergence tavble are compared.
bool IG.Num.NeuralTrainingParameters.ComparerBase.CompareByVerificationRmsError |
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getset |
Whether verification RMS errors from convergence tavble are compared.
bool IG.Num.NeuralTrainingParameters.ComparerBase.CompareByVerificationMaxError |
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getset |
Whether Maximal absolute verification errors from convergence tavble are compared.
The documentation for this class was generated from the following file: