Re: CrossValidator API in new spark.ml package

2014-12-15 Thread Xiangrui Meng
Yes, regularization path could be viewed as training multiple models at once. -Xiangrui On Sat, Dec 13, 2014 at 6:53 AM, DB Tsai dbt...@dbtsai.com wrote: Okay, I got it. In Estimator, fit(dataset: SchemaRDD, paramMaps: Array[ParamMap]): Seq[M] can be overwritten to implement regularization

CrossValidator API in new spark.ml package

2014-12-12 Thread DB Tsai
Hi Xiangrui, It seems that it's stateless so will be hard to implement regularization path. Any suggestion to extend it? Thanks. Sincerely, DB Tsai --- My Blog: https://www.dbtsai.com LinkedIn: https://www.linkedin.com/in/dbtsai

Re: CrossValidator API in new spark.ml package

2014-12-12 Thread DB Tsai
Okay, I got it. In Estimator, fit(dataset: SchemaRDD, paramMaps: Array[ParamMap]): Seq[M] can be overwritten to implement regularization path. Correct me if I'm wrong. Sincerely, DB Tsai --- My Blog: https://www.dbtsai.com LinkedIn: