GitHub user ericl opened a pull request:
https://github.com/apache/spark/pull/10323
[SPARK-12346] [ML] Missing attribute names in GLM for vector-type features
Currently `summary()` fails on a GLM model fitted over a vector feature
missing ML attrs, since the output feature attrs will also have no name. We can
avoid this situation by forcing `VectorAssembler` to make up suitable names
when inputs are missing names.
cc @mengxr
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ericl/spark spark-12346
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10323.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #10323
----
commit dcb5a40e1806244139aa7adde338a3c4c2c5eda4
Author: Eric Liang <[email protected]>
Date: 2015-12-16T08:34:41Z
vec attrs
commit 1c66cdd9f197545bb10c6b4b670e7ee5c195fbc1
Author: Eric Liang <[email protected]>
Date: 2015-12-16T08:47:33Z
Wed Dec 16 00:47:33 PST 2015
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]