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I am modeling daily revenue and the data exhibits monthly seasonality. The revenue is typically lower at the start of the month and higher in the second part of the month, especially in the last few d…
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Relevant topics can be stationarity, de-seasonalizing, de-trending, AR, MA, forecasting
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If you have a question about a behavior that you’re seeing in pyright, consider posting to the [Pyright discussion forum](https://github.com/microsoft/pyright/discussions).
**Is your feature reques…
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To implement the Forecasting into CC
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Gents, I have a typical issue installing fbprophet package on Windows with pip. Now it's something else :-) Below is the log, here're my specs:
Windows Server 2019 64-bit OS, x64-based processor
A…
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Hello, I am having this error using Prophet with dask parallel feature.
````
[W 2021-04-18 16:45:33,994] Trial 0 failed because of the following error: Exception("No module named 'dill'")
Trace…
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
xarray 0.15.1 requires p…
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Hi!
Does Prophet in train_holiday_names support the subdivision per country? https://pypi.org/project/holidays/
Like, `prophet.add_country_holidays(country_name = 'ES', subdiv='MD')` in which MD i…
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**Describe the bug**
ModuleNotFoundError: No module named 'binance.websockets'
**To Reproduce**
from binance.websockets import BinanceSocketManager
**Environment (please complete the following…
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when i run the code with my data, i got the ValueError
`m = Prophet()`
`m.fit(x)`
> ValueError Traceback (most recent call last)
in
41
42 m …