| Application
|
Returns application object. Return value: Object. This property is read only.
|
| ApplyStoppingConditions
|
Select this option to enable early stopping. Return/assignment value: Integer.
|
| DisplayRealTimeTrainingGraph
|
Use this option to display the real time training graph. Return/assignment value: Integer.
|
| ErrorImprovement
|
Specifies the minimum reduction in error that the network must achieve within a specified number of training cycles (see NumberOfCyclesForErrorImprovement) before the training is halted. Return/assignment value: Double.
|
| GaussRandomizeTheWeights
|
Select this option to randomly initialize the weights according to a normal distribution. Return/assignment value: Integer.
|
| IncludeTestErrorInRealTimeTrainGraph
|
Use this option to include the test error in the real time training graph. Return/assignment value: Integer.
|
| IncludeTrainErrorInRealTimeTrainGraph
|
Use this option to include the training error in the real time training graph. Return/assignment value: Integer.
|
| IterationDialogVisible
|
Select this option to make the iteration dialog visible in automation mode. This function is not associated with any dialog options. Assignment value: Integer.
|
| LearningRateEnd
|
Specifies the final learning rate for the Kohonen algorithm. Return/assignment value: Double.
|
| LearningRateStart
|
Specifies the learning rate for the Kohonen algorithm at the start of training. Return/assignment value: Double.
|
| MeanForGaussRandomization
|
Specifies the mean/minimum of the distribution (normal or uniform) used to initialize the neural network weights. Return/assignment value: Double.
|
| ModelListView
|
Specifies the list of active models. Return/assignment value: String.
|
| Name
|
Return value: String. This property is read only.
|
| NeighborhoodEnd
|
Specifies the final neighborhood value for the Kohonen algorithm. Return/assignment value: Integer.
|
| NeighborhoodStart
|
Specifies the neighborhood value for the Kohonen algorithm at the start of training. Return/assignment value: Integer.
|
| NumberOfCyclesForErrorImprovement
|
Specifies the number of training cycles during which the minimum reduction in error must occur (see ErrorImprovement). Return/assignment value: Integer.
|
| NumberOfTrainingCycles
|
Specifies the maximum number of cycles to be used for training the Kohonen neural network. Return/assignment value: Integer.
|
| Parent
|
Returns the parent of the object. Return value: Object. This property is read only.
|
| PrintDataStat
|
Use this option to generate a statistics spreadsheet for the analysis variables. Return value: Object. This property is read only.
|
| ResultsCodes
|
Assignment value: Variant.
|
| ResultsOption
|
Assignment value: Integer.
|
| ResultsOutputFields
|
Assignment value: Variant.
|
| ResultsSaveFileName
|
Assignment value: String.
|
| ResultsSelection
|
Assignment value: Variant.
|
| ResultsSelectionOption
|
Assignment value: Variant.
|
| ResultsValues
|
Assignment value: Variant.
|
| ResultsVariables
|
Assignment value: Variant.
|
| SeedValueForNetworkInitialization
|
Use this option to specify the value of the seed for the random number generator used to initialize the network weights. Return/assignment value: Integer.
|
| SummaryOfNetworks
|
Print summary spreadsheet of active networks. Return value: Object. This property is read only.
|
| TopologicalHeight
|
Specify the height of the Kohonen map. Return/assignment value: Integer.
|
| TopologicalWidth
|
Specify the width of the Kohonen map. Return/assignment value: Integer.
|
| UniformRandomizeTheWeights
|
Select this option to randomly initialize the weights according to a uniform distribution. Return/assignment value: Integer.
|
| UseFixedSeedForNetworkInitialization
|
Select this option to use a specified seed value for the random number generator used to initialize the network weights. Return/assignment value: Integer.
|
| VarianceForGaussRandomization
|
Specifies the variance/maximum of the distribution (normal or uniform) used to initialize the neural network weights. Return/assignment value: Double.
|
