# Package com.tibco.patterns.learn.modelconfig

Configuration and options for creating and using Learn models.

The ModelConfig class provides methods to store valid model configuration parameters and to create models based on these parameters. The SubsetTrainConfig abstract class and its ST... subclasses hold valid configuration parameters for each subset training mode. They are used together with the ModelConfig class.

The ConfQ... classes extend confidence measure classes to provide means to configure a Patterns query to use the specific confidence measure.

- Interface Summary
  Interface | Description
  --- | ---
  ConfQuery | Defines a confidence measure that can be used in a Patterns server RLink query.

- Class Summary
  Class | Description
  --- | ---
  ConfQFeature | Extends the ConfFeature class to provide means to configure a NetricsQuery.
  ConfQNone | Extends the ConfNone class to provide means to configure a NetricsQuery.
  ModelConfig | Stores a configuration of an RLink model and builds model(s) with this configuration.
  STAll | Specifies training of all subsets with generated examples.
  STDynamic | Specifies dynamic training of subsets.
  STFixed | Specifies training up to a fixed depth of subsets, defined by percentage of missing information in the subset.
  STNone | Specifies training with actual examples only, without any generated examples for submodels.
  STTaper | Specifies the use of a random tapering function to generate some examples for subsets.
  SubsetTrainConfig | Defines configuration parameters for one of the subset training modes.