v2.5.1

• Added new MLRun tutorials for experiment tracking.
• Added new tutorial for inferring a Parquet schema and converting it into a Hive schema.
• Improved the Frames and Spark JDBC getting-started notebooks.
• Made miscellaneous fixes and improvements to getting-started and demo tutorials.

v2.5.0

Add location based recommendation, fix GPU demos, fix to the netops pipeline

v2.3.4

Add Rapids , fix horovod examples

v2.3.3

New GPU demos - image recognition with horovod and nvidia benchmark

v2.3.2

Stocks - Making the notes for getting API token and creating a twitter config file clear AND add numbering for stocks and image recognition

v2.3.1

Fix frames in netops and remove creation of Grafana datasource

v2.3.0

New netops with pipeline, nuclio example with Presto

v2.2.1

Changes to netops, streaming enrich and read.me

v2.2.0

First version aligned with 2.2 core (new spark jdbc NB, update NB)

v0.0.5

New demos and getting started (streaming enrichment, virtual env) and fix the welcome page + tech writer review