type TDBClassifier = class(TComponent);
Use the component to perform classification on the data stored in any TDataset descendant.
The component requires you to connect the appropriate classification component (select the algorithm) and the dataset on which to perform the classification and/or learning. Dataset field layout between the learn and classification run must match.
Properties
| Name | Type | Description |
|---|---|---|
| IsUpdating | boolean | If this property is True, the component is in the process of reading the records from the Dataset. |
Methods
| Name | Description |
|---|---|
| Assign | Assign the values of published properties from Source. |
| ClassifyRecord | Classify the current record and return the name of the class. |
| ClassifyTest | Perform classification test. |
| Clear | Clears the list of attributes and all learned data of the attached classifier. |
| Create | Create the component. |
| Destroy | Destroy the component. |
| DiscreteAttribute | Returns the index in the Attributes list of the discrete attribute stored in the array of discrete attributes at position Index. |
| FieldsToAttributes | Adds an item to Attributes list property for every field in the dataset. |
| FillFieldItems | |
| FloatAttribute | Returns the index in the Attributes list of the real valued attribute stored in the array of real valued attributes at position Index. |
| InitializeAttributes | Uses the field definitions of the dataset and fields defined with Attributes property to set the AttributeKind and AttributeIndex properties. |
| LearnData | Teach the classifier attached to the Classifier property with the data in the dataset. |
| LearnRecord | Teach the classifier attached to the Classifier property with the current record in the dataset. |