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Databricks Scala Spark API - org.apache.spark.ml
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package ml
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abstract class Estimator[M <: Model[M]] extends PipelineStage
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case class FitEnd[M <: Model[M]]() extends MLEvent with Product with Serializable
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case class FitStart[M <: Model[M]]() extends MLEvent with Product with Serializable
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case class LoadInstanceEnd[T]() extends MLEvent with Product with Serializable
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case class LoadInstanceStart[T](path: String) extends MLEvent with Product with Serializable
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sealed trait MLEvent extends SparkListenerEvent
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abstract class Model[M <: Model[M]] extends Transformer
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class Pipeline extends Estimator[PipelineModel] with MLWritable
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class PipelineModel extends Model[PipelineModel] with MLWritable with Logging
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abstract class PipelineStage extends Params with Logging
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abstract class PredictionModel[FeaturesType, M <: PredictionModel[FeaturesType, M]] extends Model[M] with PredictorParams
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abstract class Predictor[FeaturesType, Learner <: Predictor[FeaturesType, Learner, M], M <: PredictionModel[FeaturesType, M]] extends Estimator[M] with PredictorParams
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case class SaveInstanceEnd(path: String) extends MLEvent with Product with Serializable
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case class SaveInstanceStart(path: String) extends MLEvent with Product with Serializable
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case class TransformEnd() extends MLEvent with Product with Serializable
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case class TransformStart() extends MLEvent with Product with Serializable
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abstract class Transformer extends PipelineStage
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abstract class UnaryTransformer[IN, OUT, T <: UnaryTransformer[IN, OUT, T]] extends Transformer with HasInputCol with HasOutputCol with Logging
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