public class LeastSquaresCostFun
extends java.lang.Object
implements breeze.optimize.DiffFunction<breeze.linalg.DenseVector<java.lang.Object>>
Constructor and Description |
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LeastSquaresCostFun(RDD<org.apache.spark.ml.feature.Instance> instances,
double labelStd,
double labelMean,
boolean fitIntercept,
boolean standardization,
double[] featuresStd,
double[] featuresMean,
double effectiveL2regParam) |
Modifier and Type | Method and Description |
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scala.Tuple2<java.lang.Object,breeze.linalg.DenseVector<java.lang.Object>> |
calculate(breeze.linalg.DenseVector<java.lang.Object> coefficients) |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
andThen, andThen$mcDD$sp, andThen$mcDF$sp, andThen$mcDI$sp, andThen$mcDJ$sp, andThen$mcFD$sp, andThen$mcFF$sp, andThen$mcFI$sp, andThen$mcFJ$sp, andThen$mcID$sp, andThen$mcIF$sp, andThen$mcII$sp, andThen$mcIJ$sp, andThen$mcJD$sp, andThen$mcJF$sp, andThen$mcJI$sp, andThen$mcJJ$sp, andThen$mcVD$sp, andThen$mcVF$sp, andThen$mcVI$sp, andThen$mcVJ$sp, andThen$mcZD$sp, andThen$mcZF$sp, andThen$mcZI$sp, andThen$mcZJ$sp, apply$mcDD$sp, apply$mcDF$sp, apply$mcDI$sp, apply$mcDJ$sp, apply$mcFD$sp, apply$mcFF$sp, apply$mcFI$sp, apply$mcFJ$sp, apply$mcID$sp, apply$mcIF$sp, apply$mcII$sp, apply$mcIJ$sp, apply$mcJD$sp, apply$mcJF$sp, apply$mcJI$sp, apply$mcJJ$sp, apply$mcVD$sp, apply$mcVF$sp, apply$mcVI$sp, apply$mcVJ$sp, apply$mcZD$sp, apply$mcZF$sp, apply$mcZI$sp, apply$mcZJ$sp, compose, compose$mcDD$sp, compose$mcDF$sp, compose$mcDI$sp, compose$mcDJ$sp, compose$mcFD$sp, compose$mcFF$sp, compose$mcFI$sp, compose$mcFJ$sp, compose$mcID$sp, compose$mcIF$sp, compose$mcII$sp, compose$mcIJ$sp, compose$mcJD$sp, compose$mcJF$sp, compose$mcJI$sp, compose$mcJJ$sp, compose$mcVD$sp, compose$mcVF$sp, compose$mcVI$sp, compose$mcVJ$sp, compose$mcZD$sp, compose$mcZF$sp, compose$mcZI$sp, compose$mcZJ$sp, toString
public LeastSquaresCostFun(RDD<org.apache.spark.ml.feature.Instance> instances, double labelStd, double labelMean, boolean fitIntercept, boolean standardization, double[] featuresStd, double[] featuresMean, double effectiveL2regParam)