Instructions for Use
Similar to the meaning of 'distance explanatory variable', the generalized linear regression explanatory variable is used in the process of 'generalized linear regression'. By calculating the closest distance between the input dataset and the distance dataset, a column of explanatory variables is automatically created (the name of the distance explanatory variable can be obtained in the explanatory_index in the model). For example, when making predictions, some point, line, and surface data are needed as explanatory variables. At this time, the corresponding explanatory variable dataset is input, and the closest distance to it will be automatically calculated as the distance explanatory variable. In the process of generalized linear regression, it is necessary to set or use default, which means that no distance explanatory variable is set.
Parameter Description
| Parameter Name | Default Value | Parameter Definition | Parameter Type |
|---|---|---|---|
| Training distance explanatory variable dataset | Training distance explanatory variable dataset | FeatureRDD | |
| Predictive distance explanatory variable dataset | Predictive distance explanatory variable dataset | FeatureRDD | |
| Maximum search distance | Maximum search distance. The filling method is as follows: 10 Meter, with the default distance unit being Meter. Optional values include Meter, Centimeter, Millimeter, Decimeter, Kilometer, Yard, Inch, Foot, Mile | JavaDistance |