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Naive forecast: last value, moving averages, if using complex multivariate model, compare it to simple univariate model (e.g. exponential smoothing)
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Trying to install `statsmodels==0.13.2` fails on `python 3.11`.
This is likely related to https://github.com/statsmodels/statsmodels/issues/8868.
Error log
```shell
Collecting statsmodels==0…
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When using xdrip (latest nightly) in companion app mode fetching bg values from dexcom g7 app, aaps (3.2.0.3) still won't allow SMB to be enabled always. Please fix so that g7 users can use latest dex…
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Dear `bukosabino`
An *industry-standard* `ema`is made up of the following
- 1st value: An arithmetic average of the 1st `n` periods, which is the seed value
- From this point onwards the st…
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Hello,
I ran the example code for simple exponential smoothing from the following documentation:
https://www.statsmodels.org/dev/examples/notebooks/generated/exponential_smoothing.html
The outp…
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### Tested versions
- Issue was checked for and is present in all the recent major release branches (master, 3.x, 3.5, and 4.2)
### System information
N/A
### Issue description
The function that …
mse-k updated
5 months ago
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I tried to run the following exponential smoothing code 👍
from sktime.datasets import load_longley
from sktime.forecasting.exp_smoothing import ExponentialSmoothing
import pandas as pd
# create…
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Use exponentially weighted moving average instead of rolling window average for smoothing
- No array (old sample storage) required
- Less computationally complex
- Gives more weight to current va…
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Hi guys so I was trying to apply the exponential smoothing as below
fitted_model = ExponentialSmoothing(train_data["Sales"],
trend = "mul",
…
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Hello! Firstly, I wanted to thank you for this wonderful library.
Unified API to get model's params might make darts more convenient.
For example, to get params of `Exponential Smoothing` model, W…