Deepchecks: the new open source package for validating and testing Machine Learning

Deepchecks is a newly released open-source Python package that assists in building test suites for machine learning models and data. It was developed by a team working on an ML monitoring solution for production, recognizing that the code they built could also be valuable for testing and validating ML models and data during training. The package is open-source to cater to a wide audience of ML practitioners and aims to address the challenges of testing and validating ML systems with community support and contributions. Deepchecks is a portfolio company of VC Grove Ventures, one of Israel’s top venture capital funds. 

>> Click here to read the full article originally published in Medium: Deepchecks: New Open Source Package for Validating and Testing Machine Learning