| NaiveBayesClassifierPredictClass Method |
Predicts the classification for the input pattern using the
trained Naive Bayes classifier.
Namespace: Imsl.DataMiningAssembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
Syntaxpublic int PredictClass(
double[] continuous,
int[] nominal
)
Public Function PredictClass (
continuous As Double(),
nominal As Integer()
) As Integer
public:
int PredictClass(
array<double>^ continuous,
array<int>^ nominal
)
member PredictClass :
continuous : float[] *
nominal : int[] -> int
Parameters
- continuous
- Type: SystemDouble
A double array containing an input pattern of
nContinuous continuous attributes. If
nContinuous = 0, a null is
allowed.
- nominal
- Type: SystemInt32
An int array of length nNominal
containing an input pattern of nominal attributes. If
nNominal = 0, a null is
allowed.
Return Value
Type:
Int32
An
int containing the predicted classification
for the input pattern using the trained Naive Bayes Classifier.
The predicted classification returned is the class with the
largest estimated classification probability. The classification
probabilities can be predicted using the
Probabilities method.
See Also