ml

Type Members

1. class BinaryTrainingData extends TrainingData

   A subinstance of TrainingData whose labels are -1 or 1.

2. case class BrownClusters(clusters: Iterable[(Symbol, Seq[Int])]) extends Product with Serializable

3. case class CandidatePool(scoredCandidates: Map[FeatureVector, Double]) extends Product with Serializable

   A CandidatePool is an abstraction for a "pool" of comparable objects.

4. case class CandidatePoolCorpus(pools: Iterable[CandidatePool]) extends Product with Serializable

   A CandidatePoolCorpus is a set of candidate pools (see CandidatePool, above).

5. case class FeatureEncoding(featureNames: IndexedSeq[FeatureName]) extends Product with Serializable

   Maps feature names to integers.

6. case class FeatureName(symbols: List[Symbol]) extends Product with Serializable

   The name of a feature, represented as a list of Symbols.

7. case class FeatureVector(values: Seq[(FeatureName, Double)]) extends Product with Serializable

   A mapping from feature names to values.

8. case class LinearModel(coefficients: Seq[(FeatureName, Double)]) extends Product with Serializable

   A weighted linear combination of features.

9. case class TrainingData(labeledVectors: Iterable[(FeatureVector, Double)]) extends Product with Serializable

   Abstraction for a set of labeled feature vectors.

10. case class TrainingVectorPool(trainingVectors: Iterable[(FeatureVector, Double)]) extends Product with Serializable