multiple

Type Members

1. case class CombinerModel(models: Seq[ModelWithID], identifier: String = "") extends RowModel with PFAConvertible with Product with Serializable

   Used to combine several models in parallel.

2. case class CombinerTransformer(model: CombinerModel) extends Transformer with Product with Serializable

3. case class GroupByClassificationModel(groupByFeature: ColumnDef, modelsByGroup: Map[Any, ClassificationRowModel], identifier: String = "") extends ClassificationRowModel with GroupByModel[ClassificationRowModel] with PFAConvertible with Product with Serializable

   Annotations

   @SerialVersionUID( 7994790669603482144L )

4. case class GroupByClassificationTransformer(model: GroupByClassificationModel) extends ClassificationTransformer with GroupByTransformer[ClassificationRowModel] with Product with Serializable

5. trait GroupByModel[M <: RowModel] extends AnyRef

   Created by Jennifer Thompson on 2/12/16.

6. case class GroupByRegressionModel(groupByFeature: ColumnDef, modelsByGroup: Map[Any, RegressionRowModel], identifier: String = "") extends RegressionRowModel with GroupByModel[RegressionRowModel] with PFAConvertible with Product with Serializable

   Created by Jennifer Thompson on 2/9/16.

7. case class GroupByRegressionTransformer(model: GroupByRegressionModel) extends RegressionTransformer with GroupByTransformer[RegressionRowModel] with Product with Serializable

8. trait GroupByTransformer[M <: RowModel] extends AnyRef

   Created by Jennifer Thompson on 2/12/16.

9. case class ModelWithID(id: String, model: RowModel) extends Product with Serializable

10. class PipelineCategoricalTransformer[R <: CategoricalResult] extends PipelineMLTransformer[R] with CategoricalTransformer[R]

11. case class PipelineClassificationModel(preProcessors: Seq[RowModel], finalModel: ClassificationRowModel, identifier: String = "") extends ClassificationRowModel with PFAConvertible with Product with Serializable

    Used for combining a Classification model (e.

12. case class PipelineClassificationTransformer(preProcessors: List[_ <: Transformer], finalTransformer: ClassificationTransformer, subModels: Seq[RowModel]) extends PipelineCategoricalTransformer[ClassificationResult] with ClassificationTransformer with Product with Serializable

13. case class PipelineClusteringModel(preProcessors: Seq[RowModel], finalModel: ClusteringRowModel, identifier: String = "") extends ClusteringRowModel with PFAConvertible with Product with Serializable

    Used for combining a Clustering model (e.

14. case class PipelineClusteringTransformer(preProcessors: List[_ <: Transformer], finalTransformer: ClusteringTransformer, subModels: Seq[RowModel]) extends PipelineCategoricalTransformer[ClusteringResult] with ClusteringTransformer with Product with Serializable

15. class PipelineMLTransformer[R <: MLResult] extends PipelineTransformer with MLTransformer[R]

16. case class PipelineRegressionModel(preProcessors: Seq[RowModel], finalModel: RegressionRowModel, identifier: String = "") extends RegressionRowModel with PFAConvertible with Product with Serializable

    Used for combining a Regression model (e.

17. class PipelineRegressionTransformer[R <: MLResult] extends PipelineMLTransformer[RealResult] with RegressionTransformer

18. case class PipelineRowModel(transformers: Seq[RowModel], identifier: String = "") extends RowModel with PFAConvertible with Product with Serializable

    Used to combine models in sequence.

19. class PipelineTransformer extends Transformer

    Transformer to apply several transformers in sequence.