[ https://issues.apache.org/jira/browse/SPARK-20258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Felix Cheung updated SPARK-20258: --------------------------------- Fix Version/s: 2.2.0 > SparkR logistic regression example did not converge in programming guide > ------------------------------------------------------------------------ > > Key: SPARK-20258 > URL: https://issues.apache.org/jira/browse/SPARK-20258 > Project: Spark > Issue Type: Bug > Components: SparkR > Affects Versions: 2.1.0 > Reporter: Wayne Zhang > Assignee: Wayne Zhang > Fix For: 2.2.0 > > > SparkR logistic regression example did not converge in programming guide. All > estimates are essentially zero: > {code} > training2 <- read.df("data/mllib/sample_binary_classification_data.txt", > source = "libsvm") > df_list2 <- randomSplit(training2, c(7,3), 2) > binomialDF <- df_list2[[1]] > binomialTestDF <- df_list2[[2]] > binomialGLM <- spark.glm(binomialDF, label ~ features, family = "binomial") > 17/04/07 11:42:03 WARN WeightedLeastSquares: Cholesky solver failed due to > singular covariance matrix. Retrying with Quasi-Newton solver. > > summary(binomialGLM) > Deviance Residuals: > (Note: These are approximate quantiles with relative error <= 0.01) > Min 1Q Median 3Q Max > -2.4828e-06 -2.4063e-06 2.2778e-06 2.4350e-06 2.7722e-06 > Coefficients: > Estimate > (Intercept) 9.0255e+00 > features_0 0.0000e+00 > features_1 0.0000e+00 > features_2 0.0000e+00 > features_3 0.0000e+00 > features_4 0.0000e+00 > features_5 0.0000e+00 > features_6 0.0000e+00 > features_7 0.0000e+00 > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org