Object/Trait

org.apache.flink.ml.pipeline

Estimator

Related Docs: trait Estimator | package pipeline

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object Estimator

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. implicit def fallbackEvaluateOperation[Self, Testing](implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[Self], arg1: scala.reflect.api.JavaUniverse.TypeTag[Testing]): EvaluateDataSetOperation[Self, Testing, Any]

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  9. implicit def fallbackFitOperation[Self, Training](implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[Self], arg1: scala.reflect.api.JavaUniverse.TypeTag[Training]): FitOperation[Self, Training]

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    Fallback FitOperation type class implementation which is used if no other FitOperation with the right input types could be found in the scope of the implementing class.

    Fallback FitOperation type class implementation which is used if no other FitOperation with the right input types could be found in the scope of the implementing class. The fallback FitOperation makes the system fail in the pre-flight phase by throwing a RuntimeException which states the reason for the failure. Usually the error is a missing FitOperation implementation for the input types or the wrong chaining of pipeline operators which have incompatible input/output types.

    Self

    Type of the pipeline operator

    Training

    Type of training data

  10. implicit def fallbackPredictOperation[Self, Testing](implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[Self], arg1: scala.reflect.api.JavaUniverse.TypeTag[Testing]): PredictDataSetOperation[Self, Testing, Any]

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    Fallback PredictDataSetOperation if a Predictor is called with a not supported input data type.

    Fallback PredictDataSetOperation if a Predictor is called with a not supported input data type. The fallback PredictDataSetOperation lets the system fail with a RuntimeException stating which input and output data types were inferred but for which no PredictDataSetOperation could be found.

    Self

    Type of the Predictor

    Testing

    Type of the testing data

  11. implicit def fallbackTransformOperation[Self, IN](implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[Self], arg1: scala.reflect.api.JavaUniverse.TypeTag[IN]): TransformDataSetOperation[Self, IN, Any]

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    Fallback TransformDataSetOperation for Transformer which do not support the input or output type with which they are called.

    Fallback TransformDataSetOperation for Transformer which do not support the input or output type with which they are called. This is usually the case if pipeline operators are chained which have incompatible input/output types. In order to detect these failures, the fallback TransformDataSetOperation throws a RuntimeException with the corresponding input/output types. Consequently, a wrong pipeline will be detected at pre-flight phase of Flink and thus prior to execution time.

    Self

    Type of the Transformer for which the TransformDataSetOperation is defined

    IN

    Input data type of the TransformDataSetOperation

  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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