You are here: Symbol Reference > Classifier Namespace > Classes > TClassifier Class > TClassifier Properties
|
Data Miner
|
  |
   |
TClassifier Properties
|
Data Miner
|
|
|
The properties of the TClassifier class are listed here.
|
|
Name |
Description |
 |
Set the value at index to True/False, to enable/disable the corresponding attribute. | |
|
|
Called by LearnData method and K-NN to request the positioning to the first record. | |
|
|
Called by LearnData method and K-NN when the last record is fetched. | |
|
|
If the response of all classes is below RejectProbability the example will not be classified to any of the known classes. |
|
|
Name |
Description |
|
|
Total number of attributes. | |
|
|
Total number of discrete valued attributes or fields holding discreting values in the dataset. | |
|
|
Total number of real valued attributes or fields holding real values in the dataset. | |
|
|
Set to True, if Class indexes are zero based. | |
|
|
Specifies the value indicating a "missing value" (no entry) for discrete attributes in the dataset. | |
|
|
Specifies the value indicating a "missing value" (no entry) for real valued attributes in the dataset. | |
|
|
If true, the number of attributes compared will be normalized between comparisons. |
|
Copyright (c) 1999-2024 by Dew Research. All rights reserved.
|
|
What do you think about this topic? Send feedback!
|
Class