Package com.tibco.patterns.learn.modelconfig

## Class STNone

- java.lang.Object
- - com.tibco.patterns.learn.modelconfig.SubsetTrainConfig
  - - com.tibco.patterns.learn.modelconfig.STNone

-     public final class STNone
      extends SubsetTrainConfig

  Specifies training with actual examples only, without any generated examples for submodels. Immutable class. Using this subset training mode is recommended if the training and validation datasets contain abundant examples from all subsets that can ever be encountered in the data table. Since there are no generated examples, there is no risk of training the model with mislabeled examples.

- - ### Constructor Summary

    Constructors
    Constructor | Description
    --- | ---
    `STNone()` | Creates a configuration to train with actual examples only.

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method | Description
    --- | --- | ---
    `SubsetTrainConfig` | `copy()` | Copies this object to a new object.

    - ### Methods inherited from class com.tibco.patterns.learn.modelconfig.SubsetTrainConfig

      `create, getSubsetTrainMode, toString`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait`

- - ### Constructor Detail

    - #### STNone

          public STNone()

      Creates a configuration to train with actual examples only.

  - ### Method Detail

    - #### copy

          public SubsetTrainConfig copy()

      Description copied from class: `SubsetTrainConfig`
      Copies this object to a new object. Assumes that some subclasses may be mutable.
      Specified by:
        `copy` in class `SubsetTrainConfig`
      Returns:
        a deep copy of this object. An object of appropriate subclass is returned.