Github user yanboliang commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12819#discussion_r79569085
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
    @@ -355,79 +357,32 @@ class NaiveBayes private (
        */
       @Since("0.9.0")
       def run(data: RDD[LabeledPoint]): NaiveBayesModel = {
    -    val requireNonnegativeValues: Vector => Unit = (v: Vector) => {
    -      val values = v match {
    -        case sv: SparseVector => sv.values
    -        case dv: DenseVector => dv.values
    -      }
    -      if (!values.forall(_ >= 0.0)) {
    -        throw new SparkException(s"Naive Bayes requires nonnegative 
feature values but found $v.")
    -      }
    -    }
    +    val spark = SparkSession
    +      .builder()
    +      .getOrCreate()
    --- End diff --
    
    ```val spark = 
SparkSession.builder().sparkContext(data.context).getOrCreate()```
    We should guarantee SparkSession was generated based on the existing data 
RDD context.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to