engine

Type Members

1. class BinaryVectorizer extends Serializable

   

2. case class CategoricalNaiveBayesModel(priors: Map[String, Double], likelihoods: Map[String, Array[Map[String, Double]]]) extends Serializable with Product

   

   Model for naive Bayes classifiers with categorical variables.

   Model for naive Bayes classifiers with categorical variables.

   priors

   log prior probabilities

   likelihoods

   log likelihood probabilities

3. case class LabeledPoint(label: String, features: Array[String]) extends Product with Serializable

   

   Class that represents the features and labels of a data point.

   Class that represents the features and labels of a data point.

   label

   Label of this data point

   features

   Features of this data point

4. case class MarkovChainModel(transitionVectors: RDD[(Int, SparseVector)], n: Int) extends Product with Serializable

   

   Markov Chain model

   Markov Chain model

   transitionVectors

   transition vectors

   n

   top N used to construct the model

5. class PythonAlgorithm extends P2LAlgorithm[EmptyPreparedData, PipelineModel, Query, Row]

   

6. class PythonDataSource extends PDataSource[EmptyTrainingData, EmptyEvaluationInfo, Query, EmptyActualResult]

   

7. class PythonPreparator extends PPreparator[EmptyTrainingData, EmptyPreparedData]

   

8. class PythonServing extends LFirstServing[Query, Row]