eazyml-genai

Eazyml Augmented Intelligence

EazyML Augmented Intelligence extract insights from Dataset with certain insights score which is calculated using coverage of that insights.

Builds a predictive model based on the input training data, mode, and options. Supports classification and regression tasks.

It provides following apis :

scikit_feature_selection

ez_augi(mode='classification',
        outcome='target',
        train_file_path='train.csv')

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

Source distribution for eazyml-genai 0.2.39
File	Size	Uploaded
eazyml_genai-0.2.39.tar.gz	42.0 MB	Sep 25, 2026	Details

Table of built distributions (wheels) for eazyml-genai 0.2.39
File	Interpreter	ABI	Platform	Reset
eazyml_genai-0.2.39-py2.py3-none-any.whl 43.7 MB Sep 25, 2026	Python 2, Python 3	none	any	Details

Total release size: 85.7 MB

Download URL	eazyml_genai-0.2.39.tar.gz
Size	42.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`a95070c13bed6e8fa5e0cbcc9b287493dbc20bd8589567581c891959896693ec`
BLAKE2b-256 checksum How to use checksums	`55485a77958c65f1df007389b289494b33876ca8c529716ca260192791b3061d`
Upload date	Sep 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Download URL	eazyml_genai-0.2.39-py2.py3-none-any.whl
Size	43.7 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`5eba5a1118f4380e2ec9976bf12348d84df14194292c02abcbe408d33661dfcf`
BLAKE2b-256 checksum How to use checksums	`5684ad0c77b0177424e32be66190e996f03a38251ca1a8ee2a3f3d2b4874114d`
Upload date	Sep 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`