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**Problem**: time series forecasting quality depends a lot on the ML method, and it's often hard to decide or very time-consuming
**Solution**: a feature, in addition to regression & classification…
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Assume I'm building 2 regression models on the same data (Sales ~ Price):
1. Default Linear Regression model (without standardization) with Price beta B1
2. Default Prophet model with additional reg…
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RuntimeError: Error during optimization! Command '/opt/homebrew/lib/python3.11/site-packages/prophet/stan_model/prophet_model.bin random seed=3637 data file=/var/folders/wc/z084d3qj1wd6cjym3n9gh5d8000…
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Good day,
Thank you for the help in advance. I have saved a meta model using
```
from prophet.serialize import model_to_json, model_from_json
with open('serialized_model.json', 'w') as fout…
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I was unknowingly passing a dtype of `datetime64[ms]` to prophet and getting a _very_ poor fit. Converted back to `datetime64[ns]` and model fit behaved as expected. It might be worth adding a check t…
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**Is your feature request related to a current problem? Please describe.**
I wanted to pass some additional arguments to `Prophet`'s fit function (from now on called fit_kwargs), but this is not curr…
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Hello,
I have a dataset that has time series data along with 5 categorical features. I want my model to take the values in these categories into account when making a forecast.
Do you know if …
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Running the basic car sales example
```
from pandas import read_csv
from pandas import to_datetime
from fbprophet import Prophet
# load data
path = 'https://raw.githubusercontent.com/jbrownlee/D…
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Problem: training ends successfully on a relatively small dataset, then an error occurs on a large dataset (40 000 000 rows, numeric features - 32, categorical features - 16):
Traceback (most rec…
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**Describe the bug**
Attempting to Use SKTime Prophet estimator, which performed successfully on my Intel-based Mac but now fails when attempting to fit. The error message indicates that library '@…