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Good news. We're almost done with the "what was the intention here?" issues. A little over half of whats left are in results_arma or results_arima.
results_arima: it looks like maybe older result…
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The Java example to forecast using ARIMA is left empty with a main method.
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Found here: https://github.com/TomMonks/reg-arima-errors
This covers seasonal indexes. Could be expanded to include fourier series
Include in 02_arima
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# Logistic Regression
### [資料分析&機器學習] 第3.3講：線性分類-邏輯斯回歸(Logistic Regression) 介紹
https://medium.com/jameslearningnote/%E8%B3%87%E6%96%99%E5%88%86%E6%9E%90-%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-%E7%AC…
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https://github.com/tideburning/python_test4/blob/9513b83bfbd4d258ee51fe40eaab853f764c1f30/bai2/bai2b.py#L19
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## forecast-tools
- [x] update dev environment.
- [x] run all package tests python 3.8 - 3.12
- [x] update on PyPI
## MSc content - Pre-OpenStack
> Primarily a check that all code runs. Issu…
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### Description
Currently, the blamda is raising an expectation, when trying to use it, would be nice to have this enabled, I am not sure if the commented code just needs to be enabled again or if …
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ARIMA models are machine learning models which are used to predict future values of a time series based on historical data.
I am thinking of using this as a more structured and reliable form of predi…
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AR/ARIMA models refit each validation block prediction that may be time consuming. It needs to be fixed and AR/ARIMA models should be enabled.
Also `test.unit.api.test_presets.test_presets_time_ser…