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Data Miner
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TNaiveBayes Members Public Methods
Public Methods
 
Name 
Description 
 
Copies the attribute Enabled fields from Source.  
 
Returns an array of attribute indexes sorted by quality.  
 
Determine the most probable class to which the example with values of discrete attributes in DiscreteRecord and values of real valued attributes in FloatRecord belongs to.  
 
Determine the response of all classe for the example with values of discrete attributes in DiscreteRecord and values of real valued attributes in FloatRecord.  
 
Performs the classification on the test data, by calling the OnClassifyTest event.  
 
Get the index of the class with Name.  
 
Get the name of the class at Index.  
 
Clear all learned data and all class descriptions.  
 
Create the component.  
 
Disable real valued and discrete attributes for all classes.  
 
Disable discrete attributes for all classes.  
 
Disable real valued attributes for all classes.  
 
Enable real valued and discrete attributes for all classes.  
 
Enable discrete attributes for all classes.  
 
Enable real valued attributes for all classes.  
 
Returns the average information entropy.  
 
Learn a new record belonging to class with ClassName.  
 
Call this method to perform the learn operation on the learn data.  
 
Learn a new record belonging to class with ClassIndex.  
 
Load the component from file named FileName.  
 
Load the component from stream.  
 
Returns the maximum entropy of the discrete attribute at AttributeIndex.  
 
Returns the maximum entropy found to be of the attribute at Index.  
 
Returns the maximum entropy of the real valued attribute at AttributeIndex.  
 
Returns the index of the class, which has the highest count of examples and thus the highest prior probability, with ClassIndex.  
 
Pruning disables some attributes, to improve classification accuracy.  
 
Pruning disables some attributes, to improve classificaiton accuracy.  
 
Performs pre-pruning and post-pruning and enables only those attributes giving best classification accuracy towards the test dataset.  
 
Reset all learned data including attribute weights and attribute Enabled fields, but keep the class descriptions.  
 
Save the component to file named FileName.  
 
Save the component to stream.  
 
Reset all learned data except attribute weights and attribute Enabled fields and keep the class descriptions.  
 
Sort an array of TIndexRecords.  
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