Comments (8)
AutoViML
commented on August 16, 2024
2
Thank you so much for your kind help @sugatoray 👍
@RoyiAvital : auto-ts has been added to conda-forge! Please test it and let me know.
Auto Vimal
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sugatoray
commented on August 16, 2024
1
@AutoViML: I scanned the library for potential areas of errors while creating conda-forge packaging. I have opened a PR to update the packaging of auto-ts first. This will help with conda-forge packaging and also fix its pypi-packaging issues. Once it is merged and the package on PyPI is updated, I will start the conda-forge packaging.
- PR: #111
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AutoViML
commented on August 16, 2024
1
Hi @sugatoray
👍
I made all the changes you requested in your PR and even merged it. Do we have to do anything more for conda-forge? Can I close this?
Ram
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sugatoray
commented on August 16, 2024
1
@AutoViML Thank you. Good news: auto-ts has been added to conda-forge! 🎉
Please close this issue.
Regards
Sugato.
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AutoViML
commented on August 16, 2024
@sugatoray : can you help with this request?
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sugatoray
commented on August 16, 2024
@AutoViML Okay. I will look into it.
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AutoViML
commented on August 16, 2024
@sugatoray 👍 any updates???
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sugatoray
commented on August 16, 2024
Related Conda-Forge PR:
@AutoViML please see my comments here and also please let me know if you have questions about the PR #111.
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Related Issues (20)
- how can i make predictions on train data HOT 3
- Mac M1max HOT 2
- Error: 'could not convert string to float' on datetime column HOT 12
- Change requirements to `pyyaml` instead of `pyyaml==5.4.1` HOT 4
- `pip install auto-ts` still tries to install `pyyaml==5.4.1` HOT 2
- Add `requirements.txt` and `LICENSE` file to tar.gz source on PyPI HOT 1
- Time Series Classification HOT 5
- Prophet 1.0.1 vs fbProphet HOT 16
- error on colab HOT 3
- building ML model with at least 1 order of differencing fails at test_stationarity HOT 1
- How do I export the sample predictions of each model? I want to know all the prediction data HOT 1
- ValueError: maxlag must be less than (nobs/2 - 1 - ntrend) where n trend is the number of included deterministic regressors HOT 1
- AttributeError: 'numpy.ndarray' object has no attribute 'columns' HOT 15
- The way to set number of iterations for fbprophet model HOT 2
- AttributeError: 'AxesSubplot' object has no attribute 'is_first_col' HOT 2
- How do we know if the model is using external regressors during training ? How to check which external features are used HOT 2
- No module named 'fbprophet' HOT 8
- Issues with `prophet` cause variables to be left undefined HOT 2
- Import Error issue HOT 4
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