orbit
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A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
**Describe the bug** In the case when user want to fit a flat level (and build customized trend as regressors) by specifying `level_segments=0`, the KTR model is able to fit...
**Is your feature request related to a problem? Please describe.** If forecast range starts after train end date, the forecaster interface assumes the forecast range starts right after train end...
**Is your feature request related to a problem? Please describe.** Thanks for creating the awesome Orbit library! I created a package that adds MLflow support to log Orbit models to...
**Is your feature request related to a problem? Please describe.** A feature to display p value for each variable and overall R^2 and others like an output of a stats...
Recently, the file is not up to date `v1.1.1`. We need to update /auto-update it .
In previous discussion, LGT model with regression sometime can generate divergence / invalid result due to positivity condition of levels required. We should consider deprecate regression in LGT.
Right now we have the model load method separate between estimators and they are not implemented as a class function. It looks more readable to do so instead of (current...
Right now, error message only indicate a miss match but not telling the exact missing column(s). We can report the missing columns explicitly in the condition of a missing check...