Lucas W.

Yeah, no worries. I know that life happens sometimes. Just let me know, once I can do something to bring this further!

Missing value handling is a whole area of research. Approaches really rely on your use case. If "data is missing" is not a necessary feature for your problem, I would...

Without having a minimal example to reproduce, these errors are always hard to debug. My suggestions is that this might have something to do with s_clf.fit(stock) and stock being a...

Disclaimer: I'm not an official package contributor. IMHO there are multiple ways of approaching your problem. Most of the models use samples with multiple features as input. Now in your...

### General Opinion Just looking at the implementation for Autoencoders (Variational-Autoencoder, Autoencoder, AutoencoderTorch): Learning rate adaptation should be possible for all of those. How one would do that differs between...

If I may also share some thoughts on this: IMHO it is important to distinguish between training, scoring, and decision in the case of outlier detectors and this case, especially...

> Hey, thank you very much first of all for the answer! Glad I can help! > All right. When the Isolation Forest authors report as that their algorithm works...

To answer this properly, it depends on what you see as your output and how you change the contamination value to acquire different output scores. 1) If you create a...

Hey, not to apply, any pressure. But is there anything I can do to improve this pull request? (Otherwise congratulations on finishing your PhD and becoming a professor!)

I'm not exactly sure whether I get your request exactly. Could explain what you mean by > But I wonder if our library can classify and identify one-dimensional time series...