Functions
| Name | Description |
|---|---|
| aGetLength (11) | |
| aSetLength (11) | |
| Mean | Compute average of the a array. |
| StdDev | Compute standard deviation. |
| ToDouble | |
| ToSingle |
Classes
| Name | Description |
|---|---|
| TBClassesList | Holds a list of classes for Naive Bayes classification algorithm. |
| TBClassesListItem | Classification class definition for the Naive Bayes classification algorithm. |
| TClassesList | The abstract object holds a list of known classification classes. |
| TClassesListItem | Abstract class for items of a list of clasification classes. |
| TClassifier | Abstract class for encapsulation of different classification algorithms. |
| TKNearestNeighbors | Implementation of the K-NN (K Nearest Neighbors) classification algorithm. |
| TLClassesList | Holds a list of classes for the Linear Classifier classification algorithm. |
| TLClassesListItem | Classification class for the "Linear classifier" classification algorithm. Classification class for the "Linear classifier" classification algorithm. |
| TLinearClassifier | Implementation of the "Linear classifier" classifier. |
| TNaiveBayes | Implementation of the "Naive Bayes" classification algorithm. |
| TStatisticClassifier | Abstract classifier class for statistical classifiers. |
Records
| Name | Description |
|---|---|
| TDiscreteRecord | Record type used to store parameteres learned for discrete attributes. |
| TExampleRecord | Record type used by K-NN (K Nearest Neighbors) classification algorithm to store the entire learn database in memory. |
| TFloatRecord | Record type used to store parameteres learned for continuous attributes. |
| TIndexRecord | Used by the TClassifier to estimate the quality of the attributes. |
| TKFloatSpan | Record type used by K-NN (K Nearest Neighbors) classification algorithm to store the information about the range of real valued attributes. |
| TKNNParams | Record type used by K-NN (K Nearest Neighbors) classification algorithm to control the use of attributes. |
| TKRecord | Record type used by K-NN (K Nearest Neighbors) classification algorithm to store the nearest neighbors. |
Enumerations
| Name | Description |
|---|---|
| TDistanceModel | Distance model used by the K-NN algorithm. |
Types
| Name | Description |
|---|---|
| PAPointer | |
| PKRecord | Pointer to the TKRecord type. |
| TBooleanArray | Array of boolean. |
| TDiscreteRecordArray | |
| TDoubleArray | |
| TExampleRecordArray | Array of TExampleRecord. |
| TFloatRecordArray | |
| TIndexRecordArray | Array of TIndexRecord. |
| TIntegerArray | |
| TKFloatSpanArray | Array of TKFloatSpan. |
| TKNNParamsArray | Array of TKNNParams. |
| TKRecordArray | Array of TKRecord. |
Events
| Name | Description |
|---|---|
| TIndexNextRecord | Event type used by TClassifier. |
| TNameNextRecord | Event type used by TClassifier. |
| TOnClassifyTest | Event type used to determine classification accuracy. |
| TPopBookmark | Event type used to get bookmark position. |
| TPushBookmark | Event type used to save bookmark position. |