Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6134#issuecomment-101867462
[Test build #32653 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/32653/consoleFull)
for PR 6134 at commit
[`225df94`](https://github.com/apache/spark/commit/225df9468533ec58f1dddc9f342febb74417b548).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `class DoubleArrayParam(parent: Params, name: String, doc: String,
isValid: Array[Double] => Boolean)`
* `class TreeClassifierParams(object):`
* `class GBTParams(object):`
* `class DecisionTreeClassifier(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredictionCol,`
* `class DecisionTreeClassificationModel(JavaModel):`
* `class RandomForestClassifier(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredictionCol, HasSeed,`
* `class RandomForestClassificationModel(JavaModel):`
* `class GBTClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol,
HasPredictionCol, HasMaxIter,`
* `class GBTClassificationModel(JavaModel):`
* `class Bucketizer(JavaTransformer, HasInputCol, HasOutputCol):`
* ` ("probabilityCol", "Column name for predicted class
conditional probabilities. " +`
* `class HasProbabilityCol(Params):`
* ` probabilityCol = Param(Params._dummy(), "probabilityCol", "Column
name for predicted class conditional probabilities. Note: Not all models output
well-calibrated probability estimates! These probabilities should be treated as
confidences, not precise probabilities.")`
* ` self.probabilityCol = Param(self, "probabilityCol", "Column
name for predicted class conditional probabilities. Note: Not all models output
well-calibrated probability estimates! These probabilities should be treated as
confidences, not precise probabilities.")`
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