Your Open Source Serverless Data Science Platform
Project description
MLIL Python Client
This package allows you to more easily interact with the MLIL paltform via Python
Basic usage:
>>> import mlil
>>> client = mlil.MLIL_client()
>>> client.actions
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
mlinsightlab-0.0.1.tar.gz
(6.2 kB
view details)
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 mlinsightlab-0.0.1.tar.gz.
File metadata
- Download URL: mlinsightlab-0.0.1.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e9d41f0466629aba53bbd92be5afba03b5530fb0f9667ff6ea5081cdad738687
|
|
| MD5 |
95535e239b88d3bdc67fe2b456ac5220
|
|
| BLAKE2b-256 |
2e66460c76c6f8ae254525e480b3e159eeb59794f4a7307de361f276035cc6c8
|
File details
Details for the file mlinsightlab-0.0.1-py3-none-any.whl.
File metadata
- Download URL: mlinsightlab-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
02006c9c594761a643887a6554c355f60d7e35fc4050292d752da6ad7fea40ae
|
|
| MD5 |
508b6b34c47283f393668cc14a8716a1
|
|
| BLAKE2b-256 |
f42f2ff5e599a9410a2d588637102398eb586dec179768cc26d36b30e182dd01
|