python client sdk for the modela auto ml system.
Project description
What is Modela?
Modela is a Kubernetes-based automatic machine learning platform that enables you with an expansive API for machine learning. The system implements Kubernetes custom resources for declaratively managing data, training, inference, and infrastructure objects. The Modela control plane manages these resources to provide fully distributed and automated machine learning.
For a complete documentation of the API, check out the documentation.
Install Modela
Modela can be installed through the Modela CLI, or through Helm Charts. For a complete installation procedure, please refer to the installation procedure on the documentation.
Using the SDK
The Modela API is implemented by Modela, which can be installed on any Kubernetes cluster for free. You can access the API by connecting to the API gateway service hosted by your installation.
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 modela-0.4.568.tar.gz.
File metadata
- Download URL: modela-0.4.568.tar.gz
- Upload date:
- Size: 89.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.8 CPython/3.9.5 Linux/5.4.72-microsoft-standard-WSL2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
17dbc2290899d82d1a90b1b44a27b12b2cf2b0503038c551dfdf7a5b42cf95e8
|
|
| MD5 |
8eed385fcf2917d8a49e2389ed750088
|
|
| BLAKE2b-256 |
1e07cb10d0de52cc7424f75afae5428fb0b315879f79a10f1aa687f12c09ea15
|
File details
Details for the file modela-0.4.568-py3-none-any.whl.
File metadata
- Download URL: modela-0.4.568-py3-none-any.whl
- Upload date:
- Size: 128.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.8 CPython/3.9.5 Linux/5.4.72-microsoft-standard-WSL2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8d57c24ce34c2b77d7d129d697ed0c139801712bd2bb396de2d2369942a8aded
|
|
| MD5 |
9bb05594f36b2f719def084a03ea1865
|
|
| BLAKE2b-256 |
f2f1b92a9a2fd891315602c178f1666d1c01133f22eade60cbf48515647589da
|
