org.apache.spark.ml.classification

LogisticRegressionTrainingSummary

sealed trait LogisticRegressionTrainingSummary extends LogisticRegressionSummary

Abstraction for multinomial Logistic Regression Training results. Currently, the training summary ignores the training weights except for the objective trace.

Source
LogisticRegression.scala
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LogisticRegressionSummary, Serializable, Serializable, AnyRef, Any
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Abstract Value Members

  1. abstract def featuresCol: String

    Field in "predictions" which gives the features of each instance as a vector.

    Field in "predictions" which gives the features of each instance as a vector.

    Definition Classes
    LogisticRegressionSummary
  2. abstract def labelCol: String

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

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

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

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

  4. abstract def predictions: DataFrame

    Dataframe outputted by the model's transform method.

    Dataframe outputted by the model's transform method.

    Definition Classes
    LogisticRegressionSummary
  5. abstract def probabilityCol: String

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

    Field in "predictions" which gives the calibrated probability of each instance 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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  10. def finalize(): Unit

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

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  13. final def isInstanceOf[T0]: 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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Inherited from LogisticRegressionSummary

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