Hi all,
I started to have some interests in PredictionIO few months ago and digging it for myself. It seems PredictionIO requires MySQL, PostgreSQL or HBase with Elasticsearch as storage to save data and metadata and it saves models into HDFS, Local file system, MySQL or PostgreSQL (is my understanding correct?) I am just wondering if we can add the support for HDFS and local FS as storage with some file formats such as Parquet, ORC, CSV or JSON (maybe reading via Spark not like the other storages). I should look into this further though. The advantage of this will be to reduce the minimum dependencies. I might have to add [Proposal] tag in the title but I didn't because I feel like this should be suggested before and I might be missing something. Could you please give some feedback? Thanks!
