NaiveBayesClassifier.IgnoreMissingValues Method

NaiveBayesClassifierIgnoreMissingValues Method

Specifies whether or not missing values will be ignored during the training process.

Namespace: Imsl.DataMining
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public void IgnoreMissingValues(
	bool ignoreMissing
)

Public Sub IgnoreMissingValues ( 
	ignoreMissing As Boolean
)

public:
void IgnoreMissingValues(
	bool ignoreMissing
)

member IgnoreMissingValues : 
        ignoreMissing : bool -> unit

ignoreMissing: Type: SystemBoolean
A boolean specifying whether or not to ignore patterns during training when one or more input attributes are missing. By default, both missing and non-missing values are used to train the classifier. Classification predictions are still returned for all patterns even when set to true.
Default: ignoreMissing = false.