Sandy Ryza 94ac9eba21 [SPARK-5888] [MLLIB] Add OneHotEncoder as a Transformer ... This patch adds a one hot encoder for categorical features. Planning to add documentation and another test after getting feedback on the approach. A couple choices made here: * There's an `includeFirst` option which, if false, creates numCategories - 1 columns and, if true, creates numCategories columns. The default is true, which is the behavior in scikit-learn. * The user is expected to pass a `Seq` of category names when instantiating a `OneHotEncoder`. These can be easily gotten from a `StringIndexer`. The names are used for the output column names, which take the form colName_categoryName. Author: Sandy Ryza <sandy@cloudera.com> Closes #5500 from sryza/sandy-spark-5888 and squashes the following commits: f383250 [Sandy Ryza] Infer label names automatically 6e257b9 [Sandy Ryza] Review comments 7c539cf [Sandy Ryza] Vector transformers 1c182dd [Sandy Ryza] SPARK-5888. [MLLIB]. Add OneHotEncoder as a Transformer (cherry picked from commit 47728db7cf) Signed-off-by: Xiangrui Meng <meng@databricks.com>		2015-05-05 12:34:11 -07:00
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src	[SPARK-5888] [MLLIB] Add OneHotEncoder as a Transformer	2015-05-05 12:34:11 -07:00
pom.xml	[SPARK-1406] Mllib pmml model export	2015-04-29 23:21:21 -07:00