Re: [Spark ML] HasInputCol, etc.

2015-07-28 Thread Feynman Liang
Unfortunately, AFAIK custom transformers are not part of the public API so you will have to continue with what you're doing. On Tue, Jul 28, 2015 at 1:32 PM, Matt Narrell matt.narr...@gmail.com wrote: Hey, Our ML ETL pipeline has several complex steps that I’d like to address with custom

[Spark ML] HasInputCol, etc.

2015-07-28 Thread Matt Narrell
Hey, Our ML ETL pipeline has several complex steps that I’d like to address with custom Transformers in an ML Pipeline. Looking at the Tokenizer and HashingTF transformers I see these handy traits (HasInputCol, HasLabelCol, HasOutputCol, etc.) but they have strict access modifiers. How can I