A Python tool that automatically creates and optimizes machine learning pipelines . Contact ============= If you have any questions or comments about AUTODS, please feel free to mail us at: kaustuv.kunal@gmail.com This project is hosted at https://github.com/Littilabs/auto_ds
1 maintainer
Release files for auto-ds 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| auto_ds-0.0.1.tar.gz | 9.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_ds-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.2 kB
Release files / auto_ds-0.0.1.tar.gz
| Download URL | auto_ds-0.0.1.tar.gz |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.7.0 requests/2.25.1 setuptools/58.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.8
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Release files / auto_ds-0.0.1-py3-none-any.whl
| Download URL | auto_ds-0.0.1-py3-none-any.whl |
|---|---|
| Size | 11.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.7.0 requests/2.25.1 setuptools/58.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.8
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