Metadata-Version: 2.1
Name: eazyml-insight
Version: 0.0.48
Summary: eazyml-insight from EazyML family to discover patterns, generate insights, or mine rules from your datasets.
Home-page: https://eazyml.com/
Author: EazyML
Author-email: admin@eazyml.com
Project-URL: Documentation, https://docs.eazyml.com/
Project-URL: Homepage, https://eazyml.com/
Project-URL: Contact Us, https://eazyml.com/trust-in-ai
Project-URL: eazyml-automl, https://pypi.org/project/eazyml-automl/
Project-URL: eazyml-counterfactual, https://pypi.org/project/eazyml-counterfactual/
Project-URL: eazyml-xai, https://pypi.org/project/eazyml-xai/
Project-URL: eazyml-xai-image, https://pypi.org/project/eazyml-xai-image/
Project-URL: eazyml-insight, https://pypi.org/project/eazyml-insight/
Project-URL: eazyml-data-quality, https://pypi.org/project/eazyml-data-quality/
Keywords: pattern-discovery,rule-mining,data-insights,insight-generation,augmented-intelligence,data-analysis,rule-discovery,data-patterns,machine-learning,data-science,ml-api,training-data-analysis,interpretable-ai
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: Other/Proprietary License
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Information Technology
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: werkzeug
Requires-Dist: unidecode
Requires-Dist: nltk
Requires-Dist: cryptography
Requires-Dist: pyyaml
Requires-Dist: requests
Requires-Dist: pandas==1.3.*; python_version <= "3.7"
Requires-Dist: scikit-learn==1.0.*; python_version <= "3.7"
Requires-Dist: pandas>=2.0.3; python_version == "3.8"
Requires-Dist: scikit-learn==1.3.*; python_version == "3.8"
Requires-Dist: pandas>=2.2.3; python_version == "3.9"
Requires-Dist: scikit-learn==1.3.*; python_version == "3.9"
Requires-Dist: pandas>=2.2.3; python_version == "3.10"
Requires-Dist: scikit-learn==1.3.*; python_version == "3.10"
Requires-Dist: pandas>=2.2.3; python_version == "3.11"
Requires-Dist: scikit-learn==1.3.*; python_version == "3.11"
Requires-Dist: pandas>=2.2.3; python_version > "3.11"
Requires-Dist: scikit-learn==1.3.*; python_version > "3.11"

## EazyML Responsible-AI: Augmented Intelligence
![Python](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue)  ![PyPI package](https://img.shields.io/badge/pypi%20package-0.0.48-brightgreen) ![Code Style](https://img.shields.io/badge/code%20style-black-black)

![EazyML](https://github.com/EazyML/eazyml-docs/raw/refs/heads/master/EazyML_logo.png)

A collection of APIs from EazyML family to discover patterns, generate insights, or mine rules from your datasets. Each discovered pattern is expressed as a set of conditions on feature variables - each with a trust-score to reflect confidence in the insight, allowing you to analyze and apply these insights to your data. Ideal for pattern recognition, interpretable AI, and augmented intelligence workflows.

### Features
**Pattern Mining**: Discover meaningful rules from the  datasets.
**Insight Generation**: Generate high-value insights with associated trust scores.
**Application of Rules**: Apply discovered patterns to datasets for further analysis.

Ideal for use cases like interpretability, training data analysis, and building solutions with augmented intelligence.

## Installation
### User installation
The easiest way to install this package for augmented intelligence is using pip:bash
pip install -U eazyml-insight### Dependencies
This package requires:
werkzeug,
unidecode,
pandas,
scikit-learn,
nltk,
pyyaml,
requests

## Usage
Here's an example of how you can use the APIs from this package.
```python
from eazyml_augi import ez_init, ez_augi

# initialize: setup book-keeping, access_key if required 
_ = ez_init()

# discover insights for given dataset using EazyML.
response = ez_augi(mode='classification',
            outcome='target',
            data='train.csv')

# the response object contains insights/patterns that you can explore to integrate in your augmented intelligence workflows.You can find more information in the [documentation](https://eazyml.readthedocs.io/en/latest/packages/eazyml_augi.html).
```

## Useful links, other packages from EazyML family
- [Documentation](https://docs.eazyml.com)
- [Homepage](https://eazyml.com)
- If you have questions or would like to discuss a use case, please contact us [here](https://eazyml.com/trust-in-ai)
- Here are the other packages from EazyML suite:

    - [eazyml-automl](https://pypi.org/project/eazyml/): eazyml-automl provides a suite of APIs for training, optimizing and validating machine learning models with built-in AutoML capabilities, hyperparameter tuning, and cross-validation.
    - [eazyml-data-quality](https://pypi.org/project/eazyml-dq/): eazyml-data-quality provides APIs for comprehensive data quality assessment, including bias detection, outlier identification, and drift analysis for both data and models.
    - [eazyml-counterfactual](https://pypi.org/project/eazyml-cf/): eazyml-counterfactual provides APIs for optimal prescriptive analytics, counterfactual explanations, and actionable insights to optimize predictive outcomes to align with your objectives.
    - [eazyml-insight](https://pypi.org/project/eazyml-augi/): eazyml-insight provides APIs to discover patterns, generate insights, and mine rules from your datasets.
    - [eazyml-xai](https://pypi.org/project/eazyml-xai/): eazyml-xai provides APIs for explainable AI (XAI), offering human-readable explanations, feature importance, and predictive reasoning.
    - [eazyml-xai-image](https://pypi.org/project/eazyml-xai-image/): eazyml-xai-image provides APIs for image explainable AI (XAI).

## License
This project is licensed under the [Proprietary License](https://github.com/EazyML/eazyml-docs/blob/master/LICENSE).

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Maintained by [EazyML](https://eazyml.com)  
Â© 2025 EazyML. All rights reserved.
