Kubextract: ML Kubeflow Framework Generator
Kubextract is a framework generator for end-to-end machine learning development and automate kubeflow job deployment.
How to use
pip3
- install pip3 package on your computer
- export environment variable
export PATH=$PATH:~/.local/bin - run
pip3 install kubextract --upgrade - run
kubextract - input your params.yml location
Setting pre-commit
pip install pre-commitpre-commit install- for check previous files, run
pre-commit run --all-files
Documentation
- see config documentation on
docs/config - see architecture decision record on
docs/adr - see example project on
examples/
Metadata
Release files for kubextract 1.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kubextract-1.1.4.tar.gz | 10.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kubextract-1.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.9 kB
Release files / kubextract-1.1.4.tar.gz
| Download URL | kubextract-1.1.4.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
17da5f1c1294a6c940e09efbb23435bda513c1d373c6c5d307a89ce221e29090
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1.post20200604 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10
|
Release files / kubextract-1.1.4-py3-none-any.whl
| Download URL | kubextract-1.1.4-py3-none-any.whl |
|---|---|
| Size | 17.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d69c115a5d94605c17d4ae10f3f1d250c5063224f6cc5fe364c1b87b059b6480
|
|
BLAKE2b-256 checksum How to use checksums |
db55322826b895f62a88cb67af474254534e7e82a8fde5ebf0146465909c4fda
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1.post20200604 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10
|