Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16344#discussion_r93971681
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
---
@@ -303,20 +337,24 @@ object GeneralizedLinearRegression extends
DefaultParamsReadable[GeneralizedLine
/** Set of family and link pairs that GeneralizedLinearRegression
supports. */
private[regression] lazy val supportedFamilyAndLinkPairs = Set(
- Gaussian -> Identity, Gaussian -> Log, Gaussian -> Inverse,
- Binomial -> Logit, Binomial -> Probit, Binomial -> CLogLog,
- Poisson -> Log, Poisson -> Identity, Poisson -> Sqrt,
- Gamma -> Inverse, Gamma -> Identity, Gamma -> Log
+ "gaussian" -> Identity, "gaussian" -> Log, "gaussian" -> Inverse,
+ "binomial" -> Logit, "binomial" -> Probit, "binomial" -> CLogLog,
+ "poisson" -> Log, "poisson" -> Identity, "poisson" -> Sqrt,
+ "gamma" -> Inverse, "gamma" -> Identity, "gamma" -> Log,
+ "tweedie" -> Identity, "tweedie" -> Log
)
/** Set of family names that GeneralizedLinearRegression supports. */
- private[regression] lazy val supportedFamilyNames =
supportedFamilyAndLinkPairs.map(_._1.name)
+ private[regression] lazy val supportedFamilyNames =
supportedFamilyAndLinkPairs.map(_._1)
/** Set of link names that GeneralizedLinearRegression supports. */
private[regression] lazy val supportedLinkNames =
supportedFamilyAndLinkPairs.map(_._2.name)
private[regression] val epsilon: Double = 1E-16
+ /** Constant used in initialization and deviance to avoid numerical
issues. */
+ private[regression] val delta: Double = 0.1
--- End diff --
Why not a companion object for TweedieFamily though? that just seems easy
and more correct
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