When writing ML software - how do you use TDD?

• mlops-python-package

  1 348 7.4 Jupyter Notebook

  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

I always use TDD when I work on serious AI/ML projects. Even if this practice is time-consuming in the short term, it's time efficient in the long run. I prefer to catch bugs as early as possible in my workflow. I recently worked on a MLOps Python package that provides examples to implement best practices like TDD, code coverage and more: https://github.com/fmind/mlops-python-package

• recs-at-resonable-scale

  2 218 2.3 Python

  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow

Good paper, and in response to that one a team from Coveo, wrote this paper on behavioral tests for recommender systems... and also this repo.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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