luminaire
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zillow
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Migrate bayesian-changepoint-detection dependency to bayescd. reference: https://github.com/hildensia/bayesian_changepoint_detection/pull/35#issuecomment-1089303593
The repo has linter running but there are quite some warnings which are not breaking but needs to be resolved. Example pipeline: https://github.com/zillow/luminaire/runs/5104474237?check_suite_focus=true ``` 11 C901 'DataExploration._detrender' is too complex...
Which parameter is used to save the model export to the specified directory
Hello! Is there any way to extract the dataframes containing the decomposition of the time series? That is, one column for the trend, another for the seasonality, etc. Thanks
Hello I have the following data frame.  I am calling it using `imputed_data, pre_prc = de_obj.profile(hourly, impute_only=True)` and getting the following error. {'success': False, 'ErrorMessage': "ufunc 'isnan' not supported...
The current logic expires the model after k time units depending on the data frequency. This prevents forecasting for long terms. The expiry logic should be change to optional.
Our CI runs only on Python3.6 now. We should add support for newer Python versions as well since we technically do support them (at least 3.7 and 3.8)
