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}
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