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**Function**
Prophet_Seasonality
**Describe the bug**
Release 6.0 included changes to the usage of the `Prophet_Seasonality` function when calculating Weekly seasonality (commit 72034a9024c4dc566…
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## Description
GPU trained model which is serialised and deserialised produces a runtime error on unpacking using `make_evaluation_predictions`
## To Reproduce
```python
train_ratio = 0.6
url =…
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I'm struggling with understanding the way the RNN is trained in the time series example:
You pose the prediction problem as a supervised problem of predicting y given X in the following way, to my un…
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Hi,
I am having around 700 datasets for univariate timeseries forecasting.
Some of timeseries datasets have similar pattern and some others have different pattern.
Should I concentrate tr…
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Hello
Awesome software first of all; kudos and thanks!
I am tasked with generating forecasts for revenue each quarter **by sales rep** and I'd like to use prophet for that. As far as I can see t…
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In the last few weeks I tried to use the FFORMA-System for forecasting a massive block of data (about 110000 timeseries, sometimes just zeros). In doing so I found a bunch of problems. Most of them co…
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### Alchemy
* Alchemists attempted to purify, mature, and perfect certain materials.[2][4][5][n 1] Common aims were chrysopoeia, the transmutation of "base metals" (e.g., lead) into "noble metals" …
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For example, the Enders model in Stata's ts.pdf.
``` python
from statsmodels.tools.tools import webuse
dta = webuse('wpi1')
wpi = dta['wpi']
ln_wpi = dta['ln_wpi']
mod = sm.tsa.ARIMA(ln_wpi).fit(ord…
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Hey everyone,
I'm trying to use custom data on the LSTM model, but it keeps giving shape errors. After reading some other issues along the same lines, I even tried reshaping the input data to size (n…