[andrewm4894]

oh cool that's a nice tool.

p.s. i am the only person working on ML at Netdata and i can confirm we don't gather any data for ML purposes, which is actually my biggest challenge right now :) - convincing people the ML can be useful without having lots of nice labeled data from real netdata users to be able to quantify that with typical metrics like accuracy etc. I'm hoping to introduce mainly unsupervised ML features into the product that don't rely on lots of labeled data and have thumbs up/down type feedback and we can then use that to figure out if new ML based features are working or being useful for users. So any models that would be trained would be trained on the host and live on the host as opposed to in Netdata Cloud somewhere.

[sdesol]

> i am the only person working on ML at Netdata and i can confirm we don't gather any data for ML purposes, which is actually my biggest challenge right now :)

Yeah I would have to imagine that it would be an issue. This is just my personal opinion, but I think there should be a way to provide anonymized data for building models for anomaly detection. Maybe an opt-in feature, as it would benefit everybody using netdata, but this is just my own personal opinion.