Python package that allows the development of intuitive ML pipelines.
Project description
mlopx
Status: In Development
Python package that allows the development of intuitive ML pipelines that are internally converted into Kubeflow pipelines.
This package focuses on optimising the deployment of ML pipelines in heterogeneous Kubernetes clusters.
This package is intended to be used in conjunction with an mlopx server instance.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mlopx-1.0.3.tar.gz.
File metadata
- Download URL: mlopx-1.0.3.tar.gz
- Upload date:
- Size: 6.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d1cb6bec5e38d9d382f3b6667ce05551cf6ca27d1d3f765a941f956b9cb600b
|
|
| MD5 |
d69afaa8e6042793d6e57eef84e65dfb
|
|
| BLAKE2b-256 |
dae32b8b4eddd2164d1a6757b22994e259542e0426203240bd81bc739742e2e9
|
File details
Details for the file mlopx-1.0.3-py3-none-any.whl.
File metadata
- Download URL: mlopx-1.0.3-py3-none-any.whl
- Upload date:
- Size: 7.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
018a24725a02fed252eea5136a743225a10df6470ec22b0a07bf263eb99cf2cf
|
|
| MD5 |
c1f5ec40d3210c568de8229f368a2d2d
|
|
| BLAKE2b-256 |
ed36290267ff83d5b2675df0a522cf07f2e29526ff0b696703dce63c544d2563
|
