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Good Morning!
Can you explain your project in more detail about time-series dataset that you used in this project?
I wanna understand your project more specifically :)
Is this classification or r…
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It would be interesting to be able to add bootstrapping functionnality from residuals of a model of the time series, this would help :
1. to compute prediction intervals when the method doesn't su…
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Add a ```TimeSeriesLearning``` class that could be used to train any ```IClassifier``` using the time unrolling technique described in #592. This would allow to train logistic regression, SVMs and oth…
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### Describe the feature you want to add to this project
Hi Pycaret team @ngupta23, @moezali1 and @Yard1
please add evaluate_model for visualizing all the plots in time_series like train_test_s…
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[tsfresh](https://tsfresh.readthedocs.io/en/latest/) calculates a large number of time series characteristics automatically, which wildly used in time series modeling, we have two options to integrate…
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Apply tsflex on example datasets from tsflex, tsfresh, and from Yiran.
Use different feature selection from sklearn.
**Datasets - Classification**
* [ ] [Ozone level detection](https://archive.…
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hrzn updated
2 months ago
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### Describe the issue linked to the documentation
![Capture d’écran 2024-03-06 à 13 58 10](https://github.com/aeon-toolkit/aeon/assets/28450447/7b5e27b1-33c8-474d-8433-0e6d3734bf86)
Not a big p…
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It is said in the doc that "For each subject, we preliminary extracted signals using different brain parcellations and atlases and accounting for motion correction and confounds." but while going thro…
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Q: What if we want to build a model for predicting prices? Are prices distributed normally? Do we need to do any pre-processing for prices?
A: None of the models require independent or depen…