AutoMLx

Library to interpretable models!

Installation

Run the following to install:

pip install automlx

from hellowortd import say _ hello
# Generate "Hello, World!
say_hello()
# Generate "Hello, Everybody!
say_hello("Everybody")

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for automlex 0.0.1
File	Size	Uploaded
automlex-0.0.1.tar.gz	2.7 kB	Oct 12, 2023	Details

Table of built distributions (wheels) for automlex 0.0.1
File	Interpreter	ABI	Platform	Reset
automlex-0.0.1-py3-none-any.whl 2.5 kB Oct 12, 2023	Python 3	none	any	Details

Total release size: 5.1 kB

Download URL	automlex-0.0.1.tar.gz
Size	2.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`136d6fafb1c4e4d30ad2f1142ec0c3a4881f8399f9aca89248326dee9b2c9b00`
BLAKE2b-256 checksum How to use checksums	`3004cca8cec076e3b6d45d4f802811ca7fe776477fb4fe57c98578f47b524c2b`
Upload date	Oct 12, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.6`

Download URL	automlex-0.0.1-py3-none-any.whl
Size	2.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`501d59704f524ee459ce5cf874a8604983e448de103c6ccb47e9799139291c29`
BLAKE2b-256 checksum How to use checksums	`749acf02b9fb7ad09cbf216fad402e247b126404883387dfc7d0aaaf546d0715`
Upload date	Oct 12, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.6`

This release

0.0.1 This release