classification

Type Members

1. trait Classifier extends AnyRef

   

2. case class DecisionTree(_id: Option[BSONObjectID] = None, core: TreeCore = TreeCore(), impurity: Option[DecisionTreeImpurity.Value] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

   

3. case class GradientBoostTree(_id: Option[BSONObjectID] = None, core: TreeCore = TreeCore(), maxIteration: ValueOrSeq[Int] = Left(None), stepSize: ValueOrSeq[Double] = Left(None), subsamplingRate: ValueOrSeq[Double] = Left(None), lossType: Option[GBTClassificationLossType.Value] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

   

4. case class LinearSupportVectorMachine(_id: Option[BSONObjectID] = None, aggregationDepth: ValueOrSeq[Int] = Left(None), fitIntercept: Option[Boolean] = None, maxIteration: ValueOrSeq[Int] = Left(None), regularization: ValueOrSeq[Double] = Left(None), standardization: Option[Boolean] = None, threshold: ValueOrSeq[Double] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

   

5. case class LogisticRegression(_id: Option[BSONObjectID] = None, regularization: ValueOrSeq[Double] = Left(None), elasticMixingRatio: ValueOrSeq[Double] = Left(None), maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), fitIntercept: Option[Boolean] = None, family: Option[LogisticModelFamily.Value] = None, standardization: Option[Boolean] = None, aggregationDepth: ValueOrSeq[Int] = Left(None), threshold: ValueOrSeq[Double] = Left(None), thresholds: Option[Seq[Double]] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

   

6. case class MultiLayerPerceptron(_id: Option[BSONObjectID] = None, hiddenLayers: Seq[Int], maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), blockSize: ValueOrSeq[Int] = Left(None), solver: Option[MLPSolver.Value] = None, seed: Option[Long] = None, stepSize: ValueOrSeq[Double] = Left(None), name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

   

7. case class NaiveBayes(_id: Option[BSONObjectID] = None, smoothing: ValueOrSeq[Double] = Left(None), modelType: Option[BayesModelType.Value] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

   

8. case class RandomForest(_id: Option[BSONObjectID] = None, core: TreeCore = TreeCore(), numTrees: ValueOrSeq[Int] = Left(None), subsamplingRate: ValueOrSeq[Double] = Left(None), impurity: Option[DecisionTreeImpurity.Value] = None, featureSubsetStrategy: Option[RandomForestFeatureSubsetStrategy.Value] = None, name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable