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| author | Yanbo Liang <ybliang8@gmail.com> | 2017-03-08 02:09:36 -0800 |
|---|---|---|
| committer | Yanbo Liang <ybliang8@gmail.com> | 2017-03-08 02:09:36 -0800 |
| commit | 81303f7ca7808d51229411dce8feeed8c23dbe15 (patch) | |
| tree | e7f6ebae38cfbd2877c933bafa63b21d766df531 /mllib/src | |
| parent | 1fa58868bc6635ff2119264665bd3d00b4b1253a (diff) | |
| download | spark-81303f7ca7808d51229411dce8feeed8c23dbe15.tar.gz spark-81303f7ca7808d51229411dce8feeed8c23dbe15.tar.bz2 spark-81303f7ca7808d51229411dce8feeed8c23dbe15.zip | |
[SPARK-19806][ML][PYSPARK] PySpark GeneralizedLinearRegression supports tweedie distribution.
## What changes were proposed in this pull request?
PySpark ```GeneralizedLinearRegression``` supports tweedie distribution.
## How was this patch tested?
Add unit tests.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #17146 from yanboliang/spark-19806.
Diffstat (limited to 'mllib/src')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala index 110764dc07..3be8b533ee 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala @@ -66,7 +66,7 @@ private[regression] trait GeneralizedLinearRegressionBase extends PredictorParam /** * Param for the power in the variance function of the Tweedie distribution which provides * the relationship between the variance and mean of the distribution. - * Only applicable for the Tweedie family. + * Only applicable to the Tweedie family. * (see <a href="https://en.wikipedia.org/wiki/Tweedie_distribution"> * Tweedie Distribution (Wikipedia)</a>) * Supported values: 0 and [1, Inf). @@ -79,7 +79,7 @@ private[regression] trait GeneralizedLinearRegressionBase extends PredictorParam final val variancePower: DoubleParam = new DoubleParam(this, "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).", + "Only applicable to the Tweedie family. Supported values: 0 and [1, Inf).", (x: Double) => x >= 1.0 || x == 0.0) /** @group getParam */ @@ -106,7 +106,7 @@ private[regression] trait GeneralizedLinearRegressionBase extends PredictorParam def getLink: String = $(link) /** - * Param for the index in the power link function. Only applicable for the Tweedie family. + * Param for the index in the power link function. Only applicable to the Tweedie family. * Note that link power 0, 1, -1 or 0.5 corresponds to the Log, Identity, Inverse or Sqrt * link, respectively. * When not set, this value defaults to 1 - [[variancePower]], which matches the R "statmod" @@ -116,7 +116,7 @@ private[regression] trait GeneralizedLinearRegressionBase extends PredictorParam */ @Since("2.2.0") final val linkPower: DoubleParam = new DoubleParam(this, "linkPower", - "The index in the power link function. Only applicable for the Tweedie family.") + "The index in the power link function. Only applicable to the Tweedie family.") /** @group getParam */ @Since("2.2.0") |