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author | seddonm1 <seddonm1@gmail.com> | 2016-02-15 20:15:27 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2016-02-15 20:15:27 -0800 |
commit | cbeb006f23838b2f19e700e20b25003aeb3dfb01 (patch) | |
tree | 1977fd104bca7031f3fc86b5e2a14928c4ca0cde /examples | |
parent | adb548365012552e991d51740bfd3c25abf0adec (diff) | |
download | spark-cbeb006f23838b2f19e700e20b25003aeb3dfb01.tar.gz spark-cbeb006f23838b2f19e700e20b25003aeb3dfb01.tar.bz2 spark-cbeb006f23838b2f19e700e20b25003aeb3dfb01.zip |
[SPARK-13097][ML] Binarizer allowing Double AND Vector input types
This enhancement extends the existing SparkML Binarizer [SPARK-5891] to allow Vector in addition to the existing Double input column type.
A use case for this enhancement is for when a user wants to Binarize many similar feature columns at once using the same threshold value (for example a binary threshold applied to many pixels in an image).
This contribution is my original work and I license the work to the project under the project's open source license.
viirya mengxr
Author: seddonm1 <seddonm1@gmail.com>
Closes #10976 from seddonm1/master.
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