Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/15721#discussion_r93765361
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/NaiveBayesSuite.scala
---
@@ -25,31 +25,36 @@ import breeze.stats.distributions.{Multinomial =>
BrzMultinomial}
import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.ml.classification.NaiveBayes.{Bernoulli,
Multinomial}
import org.apache.spark.ml.classification.NaiveBayesSuite._
-import org.apache.spark.ml.feature.LabeledPoint
+import org.apache.spark.ml.feature.{Instance, LabeledPoint}
import org.apache.spark.ml.linalg._
import org.apache.spark.ml.param.ParamsSuite
import org.apache.spark.ml.util.{DefaultReadWriteTest, MLTestingUtils}
import org.apache.spark.ml.util.TestingUtils._
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.sql.{DataFrame, Dataset, Row}
+import org.apache.spark.sql.functions.lit
class NaiveBayesSuite extends SparkFunSuite with MLlibTestSparkContext
with DefaultReadWriteTest {
import testImplicits._
@transient var dataset: Dataset[_] = _
+ @transient var bernoulliDataset: Dataset[_] = _
+
+ private val seed = 42
override def beforeAll(): Unit = {
super.beforeAll()
- val pi = Array(0.5, 0.1, 0.4).map(math.log)
+ val pi = Array(0.3, 0.3, 0.4).map(math.log)
val theta = Array(
- Array(0.70, 0.10, 0.10, 0.10), // label 0
- Array(0.10, 0.70, 0.10, 0.10), // label 1
- Array(0.10, 0.10, 0.70, 0.10) // label 2
+ Array(0.30, 0.30, 0.30, 0.30), // label 0
+ Array(0.30, 0.30, 0.30, 0.30), // label 1
+ Array(0.40, 0.40, 0.40, 0.40) // label 2
--- End diff --
Could you let me know why you change this?
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