unsupervised

Type Members

1. case class BisectingKMeans(_id: Option[BSONObjectID], k: Int, maxIteration: Option[Int] = None, seed: Option[Long] = None, minDivisibleClusterSize: Option[Double] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends UnsupervisedLearning with Product with Serializable

   

2. case class GaussianMixture(_id: Option[BSONObjectID], k: Int, maxIteration: Option[Int] = None, tolerance: Option[Double] = None, seed: Option[Long] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends UnsupervisedLearning with Product with Serializable

   

3. case class KMeans(_id: Option[BSONObjectID], k: Int, maxIteration: Option[Int] = None, tolerance: Option[Double] = None, seed: Option[Long] = None, initMode: Option[KMeansInitMode.Value] = None, initSteps: Option[Int] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends UnsupervisedLearning with Product with Serializable

   

4. case class LDA(_id: Option[BSONObjectID], k: Int, maxIteration: Option[Int] = None, seed: Option[Long] = None, checkpointInterval: Option[Int] = None, docConcentration: Option[Seq[Double]] = None, topicConcentration: Option[Double] = None, optimizer: Option[LDAOptimizer.Value] = None, learningOffset: Option[Double] = None, learningDecay: Option[Double] = None, subsamplingRate: Option[Double] = None, optimizeDocConcentration: Option[Boolean] = None, keepLastCheckpoint: Option[Boolean] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends UnsupervisedLearning with Product with Serializable

   

5. abstract class UnsupervisedLearning extends AnyRef