Class

stat.regression

NamedLinearRegressionResult

Related Doc: package regression

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case class NamedLinearRegressionResult[I](parameterNames: Index[String], sampleNames: Index[I], raw: LinearRegressionResult, yName: String) extends RegressionResult with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, RegressionResult, NamedPrediction[Double], Prediction[Double], AnyRef, Any
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Inherited
  1. NamedLinearRegressionResult
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. RegressionResult
  7. NamedPrediction
  8. Prediction
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new NamedLinearRegressionResult(parameterNames: Index[String], sampleNames: Index[I], raw: LinearRegressionResult, yName: String)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. def covariate(s: String): Option[(Effect, TestResult)]

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

  7. def covariates: Map[String, (Effect, TestResult)]

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

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

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    Definition Classes
    AnyRef

  9. def estimates: Series[String, Double]

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    Definition Classes
    NamedPrediction

  10. def estimatesV: Vec[Double]

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    Definition Classes
    NamedLinearRegressionResult → Prediction

  11. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  13. def intercept: (Effect, TestResult)

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. def lambda: Double

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

  16. def logLikelihood: LogLikelihood

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

  17. def names: Index[String]

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    Definition Classes
    NamedLinearRegressionResult → NamedPrediction

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

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  21. def numberOfSamples: Int

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

  22. val parameterNames: Index[String]

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  23. def predict[T](m: T)(implicit arg0: MatOps[T]): Vec[Double]

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    Definition Classes
    NamedLinearRegressionResult → Prediction

  24. def predict(m: Mat[Double]): Vec[Double]

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    Definition Classes
    NamedLinearRegressionResult → Prediction

  25. def predict(v: Vec[Double]): Double

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    Definition Classes
    NamedLinearRegressionResult → Prediction

  26. def predict[I](m: Frame[I, String, Double], intercept: Boolean)(implicit arg0: ST[I], arg1: Ordering[I]): Series[I, Double]

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    Definition Classes
    NamedPrediction

  27. val raw: LinearRegressionResult

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  28. val sampleNames: Index[I]

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  29. implicit def st: ST[Double]

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    Definition Classes
    NamedPrediction

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

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    Definition Classes
    AnyRef

  31. def table: String

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    Definition Classes
    RegressionResult

  32. def toLine: String

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    Definition Classes
    RegressionResult

  33. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  36. val yName: String

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    Definition Classes
    NamedLinearRegressionResult → RegressionResult

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from RegressionResult

Inherited from NamedPrediction[Double]

Inherited from Prediction[Double]

Inherited from AnyRef

Inherited from Any

Ungrouped