Properties that can be configured for the HANA KNN algorithm.
| Property | Description |
|---|---|
| Features | Select input columns with which you want to perform the analysis. |
| Neighborhood Count | Enter the number of neighbors to consider for finding distances. The default value is 5. |
| Voting Type | Select the voting type for calculating neighborhood count. |
| Missing Values | Select the method for handling missing values.
|
| Schema Name | Enter the schema name that contains the trained data. |
| Table Name | Enter the table name that contains the trained data. |
| Independent Columns | Enter input columns, which you want to consider for training data. |
| Dependent Column | Enter the output column that you want to consider for training data. |
| Predicted Column Name | Enter a name for the new column that contains the classification values. |
| Number of Threads | Enter the number of threads using which you want the algorithm to execute. The default value is 1. |