Build #102110 (Feb 8, 2019 6:06:03 PM)

PR #20793: [WIP][SPARK-23643] Shrinkin...

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	GitHub pull request #20793 of commit c2b4a95dc090fc8a0fe23e74487c9ac3d695722f automatically merged.
	Revision: 79d93a7566067f0df7b3a00e3baf570c861676d8 origin/pr/20793/merge
	Test Result (35 failures / +35) org.apache.spark.util.random.RandomSamplerSuite.sanity check medianKSD against references org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept without regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept without regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression without intercept without regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression without intercept without regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept with L1 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression without intercept with L1 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept with L2 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept with L2 regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression without intercept with L2 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression without intercept with L2 regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept with ElasticNet regularization org.apache.spark.ml.classification.LogisticRegressionSuite.binary logistic regression with intercept with strong L1 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression with intercept without regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression with intercept without regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression without intercept without regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression without intercept without regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression with intercept with L1 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression without intercept with L1 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression with intercept with L2 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression with intercept with L2 regularization with bound org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression without intercept with L2 regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression with intercept with elasticnet regularization org.apache.spark.ml.classification.LogisticRegressionSuite.multinomial logistic regression without intercept with elasticnet regularization org.apache.spark.ml.clustering.KMeansSuite.KMeans using cosine distance org.apache.spark.ml.clustering.PowerIterationClusteringSuite.power iteration clustering org.apache.spark.ml.clustering.PowerIterationClusteringSuite.power iteration clustering gives incorrect results due to failed to converge org.apache.spark.ml.feature.Word2VecSuite.Word2Vec org.apache.spark.ml.feature.Word2VecSuite.getVectors org.apache.spark.ml.feature.Word2VecSuite.findSynonyms org.apache.spark.ml.regression.GeneralizedLinearRegressionSuite.generalized linear regression: gaussian family against glm org.apache.spark.ml.regression.GeneralizedLinearRegressionSuite.generalized linear regression: gaussian family against glmnet org.apache.spark.mllib.clustering.PowerIterationClusteringSuite.power iteration clustering org.apache.spark.mllib.clustering.PowerIterationClusteringSuite.power iteration clustering on graph org.apache.spark.mllib.clustering.StreamingKMeansSuite.accuracy for two centers Show all failed tests >>>