Wayne Zhang created SPARK-20258: ----------------------------------- Summary: 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
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