Assembly: Ms;
Namespace: Prognoz.Platform.Interop.Ms;
The IDmBackPropagation interface is used for missing data substitution using the back-propagation network.
IDmBackPropagation
The method uses neural back-propagation network to substitute missing data. This network uses a learning algorithm where the error propagates through the network from the output layer to the input one: that is, in the direction opposite to the direction of signal propagation when the network functions normally. The method works on the numeric values.
| Property name | Brief description | |
| The Target property determines the field index of the data source, containing analyzed information. |
| Property name | Brief description | |
| The Attributes property determines the field indexes of the data source, containing factors for the analysis. |
Property name |
Brief description | |
| The CrossValidation property returns cross-validation settings | ||
| The DisplayName property returns the method name. | ||
| The StatMethod property returns statistical method parameters used in analysis. |
| Method name | Brief description | |
| The FillTarget method unloads missing data treatment results into the data source |
See also:
Ms Assembly Interfaces | Back-Propagation Network | Pattern Substitution