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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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I work with monthly values and have noticed that a model with the same parameters (=default yearly seasonality) predicts completely different values when changing "ds" to the first day or...

question

Hi Team, can you please share fbprophet== 0.6 version official documentation link Regards Rahul

Thanks for sharing a pretty good model. I have a batch of values that are relatively large in holidays but relatively small in ordinary times. After scaling y value by...

question

When trying to run prophet inside mclapply I get an error about a timeout as follows ``` function () : Timeout exceeded ``` I have created a minimal example to...

As prophet is using ``stan`` as backend, I noticed that there are internal functions available to access the raw samples for a prediction instead of just the mean and confidence...

enhancement

Calling `cross_validation(model)` without calling `model.fit` first throws AttributeError. ``` [def cross_validation(model, horizon, period=None, initial=None, parallel=None, cutoffs=None):]() ... df = model.history.copy().reset_index(drop=True]() AttributeError: 'NoneType' object has no attribute 'copy']() ``` 1. If...

enhancement

fbprophet\forecaster.py:891: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

enhancement

I want to implement BSTS model in python therefore I am looking for the library. For that I read somewhere that ''[bsts](http://www.unofficialgoogledatascience.com/2017/07/fitting-bayesian-structural-time-series.html) (Bayesian structural time series) library for R and...

Hi, I have realized something is happening with the credible intervals obtained by Prophet. In the point estimate case, ie when the parameters are learned and not sampled using MCMC,...

question

Great package, simplest I've used! I have a dataset with hourly power consumption data for a household. As the docs say, it automatically detects the hourly data samples and adds...

question