OSS Python library for detecting silent ML model failure
Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. Alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance
About NannyML Regression v0.8.0 on Product Hunt
“OSS Python library for detecting silent ML model failure”
NannyML Regression v0.8.0 launched on Product Hunt on November 23rd, 2022 and earned 86 upvotes and 37 comments, placing #15 on the daily leaderboard. Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. Alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance
On the analytics side, NannyML Regression v0.8.0 competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 576k followers on Product Hunt. The dashboard above tracks how NannyML Regression v0.8.0 performed against the three products that launched closest to it on the same day.
Who hunted NannyML Regression v0.8.0?
NannyML Regression v0.8.0 was hunted by Hakim Elakhrass. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
NannyML Regression v0.8.0 has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of NannyML Regression v0.8.0 including community comment highlights and product details, visit the product overview.