MachineLearningNB Members

These members are related to Naive Bayes dialog.

Functions

Name Description
Cancel -
OK Return value: Integer.

Properties

Name Description
Application Returns application object. Return value: Object. This property is read only.
ApplySampling Divides the data set into training and test samples. Return/assignment value: Integer.
CasewiseDeletionOfMD Casewise deletion of missing data (MD). Return/assignment value: Integer.
CodeForTrainingSample Code for training sample. Return/assignment value: String.
InputDistributions Selects the distributions types for the independent variables. Return/assignment value: String.
MeanSubstitutionOfMD Mean substitution of missing data (MD). Return/assignment value: Integer.
MemoryUsageLimit Specifies the amount of physical memory that can be used by Statistica Naive Bayes. Return/assignment value: Integer.
NValue The number of first N cases to be used as the training sample. Return/assignment value: Integer.
Name Return value: String. This property is read only.
Parent Returns the parent of the object. Return value: Object. This property is read only.
PredictorCodes Predictor codes. Return/assignment value: String.
ResponseCodes Response codes. Return/assignment value: String.
RestrictMemoryUsage Limits the amount of physical memory that can be used by Statistica Naive Bayes. Note that very large data problems may require significant memory and processing resources. Return/assignment value: Integer.
ResultsCodes Assignment value: Variant.
ResultsOption Assignment value: Integer.
ResultsOutputFields Assignment value: Variant.
ResultsSaveFileName Assignment value: String.
ResultsSelection Assignment value: Variant.
ResultsSelectionOption Assignment value: Variant.
ResultsValues Assignment value: Variant.
ResultsVariables Assignment value: Variant.
SamplingVariable Specifies the sample variable for dividing the data set into train and testing samples. Return/assignment value: String.
SeedForRandomSampling Specifies the random number generator seed to be used in the process of (randomly) dividing the data into train and test samples. Return/assignment value: Integer.
SizeOfTrainingSample Specifies the percentage of the valid cases (determined by case selection conditions) in the data set that will be used to form the training set. Return/assignment value: Double.
Threshold A threshold parameter that specifies a lower bound to use in lieu when zero frequencies are encountered by the Naive Bayes model. Return/assignment value: Double.
UseFirstNCases Selects the first N valid cases [determined by the case selection conditions (see case selections)] of the data set as the training sample. The remaining cases will be used for testing. Return/assignment value: Integer.
UseMissingCasesIfPossible Uses partially missing cases for estimating the model. Return/assignment value: Integer.
UseRandomSampling Generates the training and test samples randomly. Return/assignment value: Integer.
UseSubsetvariable Generates the training and test samples from a subsample (subset) variable. Return/assignment value: Integer.
Variables Select variables for the analysis. Return/assignment value: String.