MachineLearningKNN Members
These members are related to K Nearest Neighbor dialog.
Name | Description |
---|---|
Application | Returns application object. Return value: Object. This property is read only. |
ApplyCrossV | Select this option to apply v-fold cross-validation. Return/assignment value: Integer. |
CasewiseDeletionOfMD | Casewise deletion of missing data (MD). Return/assignment value: Integer. |
Chebychev | Uses Chebychev as a distance measure. Return/assignment value: Integer. |
CityBlock | Uses cityblock as a distance measure. Return/assignment value: Integer. |
CodeForExamples | Code to chose examples. Return/assignment value: String. |
CrossVSeed | Specifies the random number generator seed to be used in the process of (randomly) grouping the data into v folds. Return/assignment value: Integer. |
DeltaK | Increments K with the specified value in the cross-validation grid search. Return/assignment value: Integer. |
Euclidean | Uses Euclidean as a distance measure. Return/assignment value: Integer. |
KNearestNeighbors | Specifies the number of nearest neighbors K. Return/assignment value: Integer. |
MaximumK | Maximum value of K nearest neighbors for use by the cross-validation grid search. Return/assignment value: Integer. |
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. |
MinimumK | Minimum value of K nearest neighbors for use by the cross-validation grid search. Return/assignment value: Integer. |
NValue | The number of first N cases to be used as the example 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 K-Nearest Neighbors. 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 the example 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 the example and test samples. Return/assignment value: Integer. |
SizeOfExamples | Specifies the percentage of the valid cases (determined by case selection conditions) in the data set that will be used to form the example set. Return/assignment value: Double. |
SquaredEuclidean | Uses squared Euclidean distance measure. Return/assignment value: Integer. |
StandardizeDistances | Standardize distances. Return/assignment value: Integer. |
UseFirstNCases | Selects the first N valid cases [determined by the case selection conditions (see case selections)] of the data set as the example sample. The remaining cases will be used for testing. Return/assignment value: Integer. |
UseRandomSampling | Generates the example and test samples randomly. Return/assignment value: Integer. |
UseSubsetvariable | Generates the example and test samples from a subsample (subset) variable. Return/assignment value: Integer. |
UseWeightedAverage | Uses weighted averaging for making predictions which gives more weights to neighbors closer to the query point. Return/assignment value: Integer. |
VValue | Specifies the number of folds used to perform the cross-validation. Return/assignment value: Integer. |
Variables | Select variables for the analysis. Return/assignment value: String. |
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