classifier

Type Members

1. abstract class AbstractResult extends AnyRef

   

   basic data structure to keep the results

2. case class AverageResult(f1: Double, precision: Double, recall: Double) extends AbstractResult with Product with Serializable

   

3. abstract class ConstrainedClassifier[T <: AnyRef, HEAD <: AnyRef] extends LBJClassifierEquivalent with Logging

   

   The input to a ConstrainedClassifier is of type T.

   The input to a ConstrainedClassifier is of type T. However given an input, the inference is based upon the head object of type HEAD corresponding to the input (of type T).

   T

   the object type given to the classifier as input

   HEAD

   the object type inference is based upon

4. abstract class Learnable[T <: AnyRef] extends LBJLearnerEquivalent with Logging

   

   Represents an instance of a learnable model.

   Represents an instance of a learnable model. Each Learnable instance is associated with a node instance in the data model graph.

   T

   Type of the data stored in node

5. case class OverallResult(f1: Double, precision: Double, recall: Double) extends AbstractResult with Product with Serializable

   

6. case class ResultPerLabel(label: String, f1: Double, precision: Double, recall: Double, allClasses: Array[String], labeledSize: Int, predictedSize: Int, correctSize: Int) extends AbstractResult with Product with Serializable

   

7. case class Results(perLabel: Seq[ResultPerLabel], average: AverageResult, overall: OverallResult) extends Product with Serializable