Wedata3-Automl
关于AutoML的使用
AutoML的镜像制作
- wedata-automl-image: 包含wedata2-automl和wedata3-automl
- 镜像部署文档
- 流水线
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Metadata
1 maintainer
Release files for tencent-wedata3-auto-ml-dev 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tencent_wedata3_auto_ml_dev-0.1.3.tar.gz | 91.7 kB | Without provenance | Details for tencent_wedata3_auto_ml_dev-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tencent_wedata3_auto_ml_dev-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for tencent_wedata3_auto_ml_dev-0.1.3-py3-none-any.whl |
Total release size: 206.7 kB
Release files / tencent_wedata3_auto_ml_dev-0.1.3.tar.gz
| Download URL | tencent_wedata3_auto_ml_dev-0.1.3.tar.gz |
|---|---|
| Size | 91.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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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/6.2.0 CPython/3.11.15
|
Release files / tencent_wedata3_auto_ml_dev-0.1.3-py3-none-any.whl
| Download URL | tencent_wedata3_auto_ml_dev-0.1.3-py3-none-any.whl |
|---|---|
| Size | 115.0 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/6.2.0 CPython/3.11.15
|
Security for tencent-wedata3-auto-ml-dev 0.1.3
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None of the files in this release were uploaded with provenance metadata.
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