Hi aws-neuron-samples developers,
We’re researchers at Cornell University focused on quality assurance for machine learning workflows (our group). We’d love to introduce you to NBTest, a new tool we’ve built to make regression testing easier and more effective in Jupyter Notebooks used for machine learning.
NBTest automatically detects key machine learning metrics (like dataset statistics and model performance) and generates statistically sound assertions. This helps catch subtle regressions and inconsistencies that traditional tools may miss.
Getting started is simple—you can follow our installation and usage instructions and start integrating it into your notebooks in minutes.
We’d be excited if you gave it a try, and we’d love to hear your thoughts. If you're interested, we’d also be happy to set up a quick chat to talk more!
Best regards,
Elaine
Hi aws-neuron-samples developers,
We’re researchers at Cornell University focused on quality assurance for machine learning workflows (our group). We’d love to introduce you to NBTest, a new tool we’ve built to make regression testing easier and more effective in Jupyter Notebooks used for machine learning.
NBTest automatically detects key machine learning metrics (like dataset statistics and model performance) and generates statistically sound assertions. This helps catch subtle regressions and inconsistencies that traditional tools may miss.
Getting started is simple—you can follow our installation and usage instructions and start integrating it into your notebooks in minutes.
We’d be excited if you gave it a try, and we’d love to hear your thoughts. If you're interested, we’d also be happy to set up a quick chat to talk more!
Best regards,
Elaine