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 0.2.54
File	Size	Uploaded
eazyml_genai-0.2.54.tar.gz	42.0 MB	Sep 28, 2026	Details

Table of built distributions (wheels) for eazyml-genai 0.2.54
File	Interpreter	ABI	Platform	Reset
eazyml_genai-0.2.54-py2.py3-none-any.whl 43.7 MB Sep 28, 2026	Python 2, Python 3	none	any	Details

Total release size: 85.7 MB

Download URL	eazyml_genai-0.2.54.tar.gz
Size	42.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`69f2daa8ffe27e86823b1dcd1ba8e713825010b9803d77c29bfc557740d2e4fe`
BLAKE2b-256 checksum How to use checksums	`ea762216c31f3506afd62f96bf48d9c5e6257eeb32f2e25d277f646a457532d2`
Upload date	Sep 28, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.7`

Download URL	eazyml_genai-0.2.54-py2.py3-none-any.whl
Size	43.7 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`847d20d2460de0cb67d23dfa0ffd634e8fa5727fcfd4ae1a0bf647c7093e4f80`
BLAKE2b-256 checksum How to use checksums	`64dec8dad7ff5a9c7c9b425320cfa12f5b0e0d641bb55c1b5d3bc2c1a530ee89`
Upload date	Sep 28, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.7`