Model (adams-pom 24.12.0-SNAPSHOT API)

All Superinterfaces:

Serializable

All Known Subinterfaces:

ClassificationModel, ClusteringModel, MultiTargetClassificationModel, MultiTargetRegressionModel, RegressionModel

All Known Implementing Classes:

WekaClassificationModel, WekaClusteringModel, WekaRegressionModel
```
public interface Model
extends Serializable
```
Ancestor for models.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`DatasetInfo`	`getDatasetInfo()`	Returns information about the dataset used for building the model.
`String`	`getModelDescription()`	Gets a short string description of the model.
`String`	`isCompatible(Dataset data)`	Checks whether the dataset is compatible with the model.

- Method Detail
  - getDatasetInfo
```
DatasetInfo getDatasetInfo()
```
    Returns information about the dataset used for building the model.
    
    Returns:
    
    the information
  - getModelDescription
```
String getModelDescription()
```
    Gets a short string description of the model.
    
    Returns:
    
    the description, null if none available
  - isCompatible
```
String isCompatible(Dataset data)
```
    Checks whether the dataset is compatible with the model.
    
    Parameters:
    
    data - the dataset to check
    
    Returns:
    
    null if compatible, otherwise error message why not