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. |
Copyright © 2020. Cloud Software Group, Inc. All Rights Reserved.
