Python helpers for data science and ML workflows on the AltaSigma AI platform
Project description
AltaSigma Python Package
A Python library for working with the AltaSigma AI platform. This package provides convenient tools for data scientists and developers to manage data, credentials, and ML workflows on AltaSigma infrastructure.
What is AltaSigma?
AltaSigma is an AI platform that provides managed infrastructure for data science and machine learning workloads. Check https://www.altasigma.com/ to learn more.
What does this package do?
This helper library simplifies common tasks when working on AltaSigma:
- Data Access: Read and write data from AltaSigma data sources
- Credential Management: Handle authentication tokens and credentials securely
- Job Supervision: Manage training, evaluation, and prediction workflows
- Configuration: Environment-aware settings for different job types
- Progress Tracking: Report progress for long-running operations
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 altasigma-3.10.2.tar.gz.
File metadata
- Download URL: altasigma-3.10.2.tar.gz
- Upload date:
- Size: 28.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bc0ac4e348e96828e974528b1e7e7be7fb190c9b05d0a07c1aece422a24c3604
|
|
| MD5 |
8c6831b0b469bcb1b707e4d1bc647e11
|
|
| BLAKE2b-256 |
8c0fc5a70b662e4513ee918d1891b6703be04b1755776d2c642b6ff95544001a
|
File details
Details for the file altasigma-3.10.2-py3-none-any.whl.
File metadata
- Download URL: altasigma-3.10.2-py3-none-any.whl
- Upload date:
- Size: 37.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d99e5a5cd2b1e607a57471151d79820a9d2e0436dc5cedd07788a787503e531a
|
|
| MD5 |
f6c7d385712787855d9638de3ed15c77
|
|
| BLAKE2b-256 |
fbc78f6bfc3e8894b6c6df64d8653ff8ddda3a931e7a8faec727540d13c3f0dd
|
