Comments (3)
Hi. Could you provide give some details about the data and inference parameters.
By any chance, have you checked whether the differences might be due to convergence issues (stochastic in nature)?
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I am curious to see if this persists after my latest fixes in seasonality, can you try re-running this @BjorHart ? Best
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hi! I will give it a go and get back to you @luke14free .
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Related Issues (20)
- Would you like to consider adding this to pymc-learn and pymc3-models? HOT 1
- UnboundLocalError: local variable 'w' referenced before assignment HOT 2
- AttributeError: 'str' object has no attribute 'value' HOT 2
- AttributeError when fitting example model HOT 1
- Is GPU included? HOT 1
- Non-Linear Forecasting with pm-prophet HOT 5
- auto_changepoint issue HOT 1
- time series now/forecasting with distributed data HOT 1
- Example not working on Pandas 1.0 HOT 6
- Categorical Variables HOT 7
- do you have example to use your code like prophet with multiple regressores ? HOT 1
- fourier_series coefficients HOT 12
- Multiple extra data
- PyPI repository is not updated
- Heteroskedasticity
- [Feature Request] Simplify API for regressors
- [Feature Request] Ability to customise priors for each regressor
- AttributeError: 'DataFrame' object has no attribute 'ix' HOT 1
- PyMC3 has been renamed PyMC
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