srowen commented on a change in pull request #20793:
[SPARK-23643][CORE][SQL][ML] Shrinking the buffer in hashSeed up to size of the
seed parameter
URL: https://github.com/apache/spark/pull/20793#discussion_r267093601
##########
File path:
mllib/src/test/scala/org/apache/spark/ml/classification/LogisticRegressionSuite.scala
##########
@@ -2226,21 +2219,21 @@ class LogisticRegressionSuite extends MLTest with
DefaultReadWriteTest {
*/
val coefficientsRStd = new DenseMatrix(3, 4, Array(
- 0.0, 0.0, 0.0, 0.08351653,
- -0.1058702, 0.3183251, -0.1212969, -0.1629778,
- 0.0, -0.3943069, 0.0, 0.0), isTransposed = true)
- val interceptsRStd = Vectors.dense(-0.50133383, -0.3151913, 0.8165252)
+ 0.0, 0.0, 0.0, 0.09074857,
+ -0.09093399, 0.28078251, -0.12854559, -0.18382494,
+ 0.0, -0.4064444, 0.0, 0.0), isTransposed = true)
+ val interceptsRStd = Vectors.dense(-0.55325803, -0.27291366, 0.8261717)
val coefficientsR = new DenseMatrix(3, 4, Array(
- 0.0, 0.0, 0.02384198, 0.03127749,
- -0.04949061, 0.0, -0.18584462, -0.08952455,
+ 0.0, 0.0, 0.02312769, 0.04159224,
+ -0.03776471, 0.0, -0.19588206, -0.11187712,
0.0, 0.0, 0.0, 0.0), isTransposed = true)
- val interceptsR = Vectors.dense(-0.38857157, 0.62492165, -0.2363501)
+ val interceptsR = Vectors.dense(-0.40016908, 0.62474768, -0.2245786)
assert(model1.coefficientMatrix ~== coefficientsRStd absTol 0.05)
assert(model1.interceptVector ~== interceptsRStd absTol 0.1)
assert(model1.interceptVector.toArray.sum ~== 0.0 absTol eps)
assert(model2.coefficientMatrix ~== coefficientsR absTol 0.01)
- assert(model2.interceptVector ~== interceptsR absTol 0.01)
+ assert(model2.interceptVector ~== interceptsR absTol 0.9)
Review comment:
Even after updating interceptsR? if you're updating what it's measured
against does the tolerance need to widen?
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