SAYAN CHAKRABORTY

@grechasneak The most possible reason for this error is that the 'raw' column is of type `str`. The 'raw' column needs to be a numeric column in order to perform...

@shahsmit14 @snazzyfox @Aristarhys This issue should be prioritized for the next release.

@fuhao009 Luminaire does not have any internal method for storing models. You can use either pickle or joblib for exporting models.

You can use the `_params` attribute for a trained model which contains all the training related information. Specifically, to get the model coefficients related info, you can do something like...

@soroosh-rz Luminaire handles missing data based on user specifications. Luminaire DataExploration module can be used to perform smoothing-based imputation before training. Please refer to this [link](https://zillow.github.io/luminaire/tutorial/dataprofiling.html) for further details. Luminaire...

Just as a quick note, Luminaire has different profiling options for point-based outlier detection and for window-based anomaly detection. The profiling performs all necessary sanity checks (change points, trend shifts...

@mansi104-ai Thanks for jumping into this. This setting makes the scorinf process too restrictive. Please go ahead and raise the PR with your changes.

@pdurham2 I think your observation is correct. Based on the logic for this part of the code, this should be `interpolated_actual = np.diff(seq_tail, diff_order)[-1]`. Please feel free to make the...

@vincentlin2 This is a documentation error. Thanks for catching! We had a logic of detecting changepoints after removing the volatilities beyond p95 which we later removed.

Hi @sebapehl , The issue being the size of the scoring window. Window Density model tracks data over window and expects the scoring window size to be similar as the...