LinearRegressionModel

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

   

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12. def make(coefficients: Seq[Double], inputFeatures: Seq[ColumnDef], intercept: Double = 0, dependentFeatureName: String = "", identifier: String = ""): LinearRegressionModel

    

    An alternative constructor for LinearRegressionModel.

    An alternative constructor for LinearRegressionModel.

    Call this "make" instead of "apply" because the constructors need to be distinguishable after type erasure.

    coefficients

    Vector of coefficients of the model. Must match the length of inputFeatures.

    inputFeatures

    Description of the (numeric) input features. Must match the length of coefficients.

    intercept

    Intercept of the model (defaults to 0).

    dependentFeatureName

    Name used to identify the dependent feature in an evaluation dataset.

    identifier

    Used to identify this model when in a collection of models. Should be simple characters, so it can be used in a feature name.

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

    

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

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18. final def wait(): Unit

    

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

    

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

    

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