WeichenXu123 commented on a change in pull request #31693:
URL: https://github.com/apache/spark/pull/31693#discussion_r589311302
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File path:
mllib/src/test/scala/org/apache/spark/ml/classification/LogisticRegressionSuite.scala
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@@ -86,6 +87,21 @@ class LogisticRegressionSuite extends MLTest with
DefaultReadWriteTest {
df
}
+ binaryDatasetWithSmallVar = {
+ val nPoints = 10000
+ val coefficients = Array(-0.57997, 0.912083, -0.371077, -0.819866,
2.688191)
+ val xMean = Array(5.843, 3.057, 3.758, 1.199)
+ val xVariance = Array(0.6856, 0.1899, 3.116, 0.0001)
Review comment:
Why not increase the xMean to a big value like 100 for the feature with
var=0.0001 ?
Because we center feature first, so it should works well with features with
any large xMean
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