final class LassoRegression extends RegressionBase

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Instance Constructors

  1. new LassoRegression(alpha: Double, maxIterations: Int = 1000, tol: Double = 1E-5)

Value Members

  1. def fit(data: Matrix[Double], outputs: Vector[Double], sampleWeights: Vector[Double], fitIntercept: Boolean): RegressionResult
    Definition Classes
    RegressionBase
  2. def fit(data: Matrix[Double], outputs: Vector[Double], fitIntercept: Boolean): RegressionResult
    Definition Classes
    RegressionBase
  3. 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