TransmogrifAI 0.5.0 is out! Featuring support for XGBoost (experimental), Parquet readers, Spark 2.3.2 and numerous other improvements & fixes - https://github.com/salesforce/TransmogrifAI/releases/tag/0.5.0
Thanks to all the contributors and users!!
RealMap(Map("en" -> 0.991, "fr" -> 0.91, "es" -> 0.702))
transmogrifai-localmodule for it. Once loaded, the model is usable to online scoring without need in Spark context - https://github.com/salesforce/TransmogrifAI/tree/master/local#transmogrifai-local
Also @tovbinm , can I raise a PR to link this video in the README ?
It really helped me understand the need for TransmogrifAI better.
Thank you @py-ranoid we have all the recordings accessible from here - https://docs.transmogrif.ai/en/stable/talks/index.html
Where in the Readme would be a place for it?
pyspark.mllib? Also, would this involve replicating the feature selection and feature engineering pipelines into Python as well ?