Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17146#discussion_r104322692
--- Diff: python/pyspark/ml/regression.py ---
@@ -1344,40 +1347,53 @@ class GeneralizedLinearRegression(JavaEstimator,
HasLabelCol, HasFeaturesCol, Ha
family = Param(Params._dummy(), "family", "The name of family which is
a description of " +
"the error distribution to be used in the model.
Supported options: " +
- "gaussian (default), binomial, poisson and gamma.",
+ "gaussian (default), binomial, poisson, gamma and
tweedie.",
typeConverter=TypeConverters.toString)
link = Param(Params._dummy(), "link", "The name of link function which
provides the " +
"relationship between the linear predictor and the mean
of the distribution " +
"function. Supported options: identity, log, inverse,
logit, probit, cloglog " +
"and sqrt.", typeConverter=TypeConverters.toString)
linkPredictionCol = Param(Params._dummy(), "linkPredictionCol", "link
prediction (linear " +
"predictor) column name",
typeConverter=TypeConverters.toString)
+ variancePower = Param(Params._dummy(), "variancePower", "The power in
the variance function " +
+ "of the Tweedie distribution which characterizes
the relationship " +
+ "between the variance and mean of the
distribution. Only applicable " +
+ "for the Tweedie family. Supported values: 0 and
[1, Inf).",
+ typeConverter=TypeConverters.toFloat)
+ linkPower = Param(Params._dummy(), "linkPower", "The index in the
power link function. " +
+ "Only applicable for the Tweedie family.",
+ typeConverter=TypeConverters.toFloat)
@keyword_only
def __init__(self, labelCol="label", featuresCol="features",
predictionCol="prediction",
family="gaussian", link=None, fitIntercept=True,
maxIter=25, tol=1e-6,
--- End diff --
is there check to make sure link=None when family="Tweedie"?
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