org.apache.spark.ml.classification

LogisticRegressionTrainingSummary

sealed trait LogisticRegressionTrainingSummary extends LogisticRegressionSummary

Abstraction for multinomial Logistic Regression Training results.

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LogisticRegressionSummary, Serializable, Serializable, AnyRef, Any
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Abstract Value Members

  1. abstract def labelCol: String

    Field in "predictions" which gives the the true label of each sample.

    Field in "predictions" which gives the the true label of each sample.

    Definition Classes
    LogisticRegressionSummary
  2. abstract def objectiveHistory: Array[Double]

    objective function (scaled loss + regularization) at each iteration.

  3. abstract def predictions: DataFrame

    Dataframe outputted by the model's transform method.

    Dataframe outputted by the model's transform method.

    Definition Classes
    LogisticRegressionSummary
  4. abstract def probabilityCol: String

    Field in "predictions" which gives the calibrated probability of each sample as a vector.

    Field in "predictions" which gives the calibrated probability of each sample as a vector.

    Definition Classes
    LogisticRegressionSummary

Concrete Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. def totalIterations: Int

    Number of training iterations until termination

  20. final def wait(): Unit

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

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

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Inherited from LogisticRegressionSummary

Inherited from Serializable

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