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| author | actuaryzhang <actuaryzhang10@gmail.com> | 2017-04-07 12:29:45 -0700 |
|---|---|---|
| committer | Felix Cheung <felixcheung@apache.org> | 2017-04-07 12:29:45 -0700 |
| commit | 1ad73f0a21d8007d8466ef8756f751c0ab6a9d1f (patch) | |
| tree | b367a05a51cb42e4c1e02a1be1f54986e26d7922 /sql | |
| parent | 8feb799af0bb67618310947342e3e4d2a77aae13 (diff) | |
| download | spark-1ad73f0a21d8007d8466ef8756f751c0ab6a9d1f.tar.gz spark-1ad73f0a21d8007d8466ef8756f751c0ab6a9d1f.tar.bz2 spark-1ad73f0a21d8007d8466ef8756f751c0ab6a9d1f.zip | |
[SPARK-20258][DOC][SPARKR] Fix SparkR logistic regression example in programming guide (did not converge)
## What changes were proposed in this pull request?
SparkR logistic regression example did not converge in programming guide (for IRWLS). All estimates are essentially zero:
```
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)
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
```
Author: actuaryzhang <actuaryzhang10@gmail.com>
Closes #17571 from actuaryzhang/programGuide2.
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