Hi Valeriy,
Let me make sure we are on the same page.
"the current mllib implementation returns exactly the same model whether
standardization is turned on or off. " This should be corrected as "the
current mllib implementation returns exactly the same model whether
standardization is turned on
Are you referring this?
override def deviance(y: Double, mu: Double, weight: Double): Double = {
2.0 * weight * (y * math.*log(y / mu)* - (y - mu))
}
Not sure how does R handle this, but my guess is they may add a small
number, e.g. 0.5, to the numerator and denominator. If you can
I am debug spark (itself not its application) by running `sbt default test
suite`. I have successfully set up everything, and IntelliJ debugger have
caught every variables. However, I can not find the variables I need,
because there are so many variables.
For example, I want to find the input
