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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.  def computeLoss(coefficients: DenseVector[Double], intercept: Double)(x: DenseMatrix[Double], y: DenseVector[Double], sampleWeights: DenseVector[Double]): Double

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   protected

   Definition Classes

   LassoRegression → RegressionBase

7.  final def eq(arg0: AnyRef): Boolean

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8.  def equals(arg0: Any): Boolean

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9.  def finalize(): Unit

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10.  def fit(data: Matrix[Double], outputs: Vector[Double], sampleWeights: Vector[Double], fitIntercept: Boolean): RegressionResult

    Definition Classes

    RegressionBase

11.  def fit(data: Matrix[Double], outputs: Vector[Double], fitIntercept: Boolean): RegressionResult

    Definition Classes

    RegressionBase

12.  final def getClass(): Class[_]

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13.  def hashCode(): Int

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14.  final def isInstanceOf[T0]: Boolean

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15.  final def ne(arg0: AnyRef): Boolean

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16.  def normalizeSampleWeights(sampleWeights: DenseVector[Double]): DenseVector[Double]

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    protected

    Definition Classes

    LassoRegression → RegressionBase

17.  final def notify(): Unit

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18.  final def notifyAll(): Unit

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19.  def regress(x: DenseMatrix[Double], y: DenseVector[Double]): DenseVector[Double]

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    Definition Classes

    LassoRegression → RegressionBase

20.  implicit lazy val sumImpl: breeze.linalg.sum.Impl[BroadcastedColumns[DenseMatrix[Double], DenseVector[Double]], Transpose[DenseVector[Double]]]

    Provides an implementation for sum operation of BroadcastedColumns in breeze.

    Provides an implementation for sum operation of BroadcastedColumns in breeze. Spark 3.0.* and 3.1.* depends on breeze 1.0 and Spark 3.2.* depends on breeze 1.2, and there is a breaking change in the way the implicit sum implementation is provided. In breeze 1.0, the implementation is constructed via sum.vectorizeCols_Double(ClassTag[Double], Zero.DoubleZero, sum.helper_Double), while in breeze 1.2, it's constructed via sum.vectorizeCols_Double(sum.helper_Double) If our code is compiled against Spark 3.2.0/breeze 1.0, the scala compiler implicitly constructs the implementation via sum.vectorizeCols_Double(ClassTag[Double], Zero.DoubleZero, sum.helper_Double), which does not exist in breeze 1.2, thus causing java.lang.NoSuchMethodError when running on Spark 3.2.0. Conversely, if our code is compiled against Spark 3.2.0/breeze 1.2, it will cause java.lang.NoSuchMethodError when running on Spark 3.0.* and 3.1.*. Workaround: use reflection to construct the implementation.

    Definition Classes

    RegressionBase

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

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22.  def toString(): String

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23.  final def wait(): Unit

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

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25.  final def wait(arg0: Long): Unit

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