A small ML-ops tool for dummies and anyone who needs it.
Project description
Xander
Xander is my first experience in developing MLOps tools. I developed this tool one piece at time since my first day in Bip spa. This tool represents my personal and professional growth, it contains scripts on which every Data Science project is based. Repeating them every time was frustrating so why not create a tool that did it for me?
Xander is a Greek name meaning "the one who saves".
At the moment, two types of pipelines are provided with Xander:
- General Purpose Pipelines developed to support all process that takes one or more inputs, process them and returns an output.
- Machine Learning Pipelines developed to support Machine Learning and Deep Learning models development and deployment.
Initialize XanderEngine
General Purpose Pipelines
What's coming!
Project details
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
xander-0.6.4.tar.gz
(20.9 kB
view details)
Built Distribution
xander-0.6.4-py3-none-any.whl
(25.8 kB
view details)
File details
Details for the file xander-0.6.4.tar.gz
.
File metadata
- Download URL: xander-0.6.4.tar.gz
- Upload date:
- Size: 20.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7594ef513cbcf5995b0662fcd48c3eb3eae1271b29fc1c8758d32255bd7723f9 |
|
MD5 | ce9c0172285dc46eabb9705de04b1f6b |
|
BLAKE2b-256 | a1e3620d15a2057abcd0fe3d91201325fd2f0abe2481fc8c96219878dda95685 |
File details
Details for the file xander-0.6.4-py3-none-any.whl
.
File metadata
- Download URL: xander-0.6.4-py3-none-any.whl
- Upload date:
- Size: 25.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0bb7ffa8b8ba9c83e8ed42bc944f4f2aba15e807b38102739fee9206f10f5501 |
|
MD5 | ca2d6869bb3866b6b93318dafd3fba04 |
|
BLAKE2b-256 | 4c3ab03ff46d291781803603795229dab55570280377ab6ba936cde88f3cda17 |