final class LeastSquaresRegression extends RegressionBase
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- new LeastSquaresRegression()
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def
computeLoss(coefficients: DenseVector[Double], intercept: Double)(x: DenseMatrix[Double], y: DenseVector[Double], sampleWeights: DenseVector[Double]): Double
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def
fit(data: Matrix[Double], outputs: Vector[Double], sampleWeights: Vector[Double], fitIntercept: Boolean): RegressionResult
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fit(data: Matrix[Double], outputs: Vector[Double], fitIntercept: Boolean): RegressionResult
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def
normalizeSampleWeights(sampleWeights: DenseVector[Double]): DenseVector[Double]
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def
regress(x: DenseMatrix[Double], y: DenseVector[Double]): DenseVector[Double]
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