[SPARK-21681][ML] fix bug of MLOR do not work correctly when featureStd contains zero (backport PR for 2.2) #19026
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Test build #81021 has started for PR 19026 at commit |
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Jenkins, test this please. |
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Test build #81026 has finished for PR 19026 at commit
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LGTM |
asfgit
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Aug 24, 2017
…td contains zero (backport PR for 2.2) ## What changes were proposed in this pull request? This is backport PR of #18896 fix bug of MLOR do not work correctly when featureStd contains zero We can reproduce the bug through such dataset (features including zero variance), will generate wrong result (all coefficients becomes 0) ``` val multinomialDatasetWithZeroVar = { val nPoints = 100 val coefficients = Array( -0.57997, 0.912083, -0.371077, -0.16624, -0.84355, -0.048509) val xMean = Array(5.843, 3.0) val xVariance = Array(0.6856, 0.0) // including zero variance val testData = generateMultinomialLogisticInput( coefficients, xMean, xVariance, addIntercept = true, nPoints, seed) val df = sc.parallelize(testData, 4).toDF().withColumn("weight", lit(1.0)) df.cache() df } ``` ## How was this patch tested? testcase added. Author: WeichenXu <[email protected]> Closes #19026 from WeichenXu123/fix_mlor_zero_var_bug_2_2.
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@WeichenXu123 could you please close this manually? Thanks! |
MatthewRBruce
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Jul 31, 2018
…td contains zero (backport PR for 2.2) ## What changes were proposed in this pull request? This is backport PR of apache#18896 fix bug of MLOR do not work correctly when featureStd contains zero We can reproduce the bug through such dataset (features including zero variance), will generate wrong result (all coefficients becomes 0) ``` val multinomialDatasetWithZeroVar = { val nPoints = 100 val coefficients = Array( -0.57997, 0.912083, -0.371077, -0.16624, -0.84355, -0.048509) val xMean = Array(5.843, 3.0) val xVariance = Array(0.6856, 0.0) // including zero variance val testData = generateMultinomialLogisticInput( coefficients, xMean, xVariance, addIntercept = true, nPoints, seed) val df = sc.parallelize(testData, 4).toDF().withColumn("weight", lit(1.0)) df.cache() df } ``` ## How was this patch tested? testcase added. Author: WeichenXu <[email protected]> Closes apache#19026 from WeichenXu123/fix_mlor_zero_var_bug_2_2.
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What changes were proposed in this pull request?
This is backport PR of #18896
fix bug of MLOR do not work correctly when featureStd contains zero
We can reproduce the bug through such dataset (features including zero variance), will generate wrong result (all coefficients becomes 0)
How was this patch tested?
testcase added.