Digitalhub-ml Library
The Digitalhub-ml SDK library is used to manage entities and executions in Digitalhub from Python. The Digitalhub-ml layer is the third layer of the Digitalhub ml platform, focused on machine learning functions. It contains the ml entities and objects (Models) and the methods to manage them.
A more detailed description of the library can be found in the official documentation of Digitalhub.
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Release files for digitalhub-ml 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| digitalhub_ml-0.7.0.tar.gz | 10.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| digitalhub_ml-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.6 kB
Release files / digitalhub_ml-0.7.0.tar.gz
| Download URL | digitalhub_ml-0.7.0.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
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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/5.1.1 CPython/3.9.20
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Release files / digitalhub_ml-0.7.0-py3-none-any.whl
| Download URL | digitalhub_ml-0.7.0-py3-none-any.whl |
|---|---|
| Size | 17.7 kB |
| Tags | Python 3 |
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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/5.1.1 CPython/3.9.20
|
