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| author | Eric Liang <ekl@databricks.com> | 2016-01-18 12:50:58 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2016-01-18 12:50:58 -0800 |
| commit | 5e492e9d5bc0992cbcffe64a9aaf3b334b173d2c (patch) | |
| tree | 62ff8ea27e74acd448182dcba0a414995d118097 /tools | |
| parent | 44fcf992aa516153a43d7141d3b8e092f0671ba4 (diff) | |
| download | spark-5e492e9d5bc0992cbcffe64a9aaf3b334b173d2c.tar.gz spark-5e492e9d5bc0992cbcffe64a9aaf3b334b173d2c.tar.bz2 spark-5e492e9d5bc0992cbcffe64a9aaf3b334b173d2c.zip | |
[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
Author: Eric Liang <ekl@databricks.com>
Closes #10323 from ericl/spark-12346.
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