Hi Nick,
Both approaches worked and I realized my silly mistake too. Thank you so
much.
@Xu, thanks for the update.
Best,
Regards,
_
*Md. Rezaul Karim*, BSc, MSc
Researcher, INSIGHT Centre for Data Analytics
National University of Ireland, Galway
IDA Business
Yes I am working on this. Sorry for late, but I will try to submit PR ASAP.
Thanks!
On Mon, Oct 30, 2017 at 5:19 PM, Nick Pentreath
wrote:
> For now, you must follow this approach of constructing a pipeline
> consisting of a StringIndexer for each categorical column. See
> https://issues.apache.
For now, you must follow this approach of constructing a pipeline
consisting of a StringIndexer for each categorical column. See
https://issues.apache.org/jira/browse/SPARK-11215 for the related JIRA to
allow multiple columns for StringIndexer, which is being worked on
currently.
The reason you're
Hi All,
There are several categorical columns in my dataset as follows:
[image: Inline images 1]
How can I transform values in each (categorical) columns into numeric using
StringIndexer so that the resulting DataFrame can be feed into
VectorAssembler to generate a feature vector?
A naive approa
