## EazyML Responsible-AI: Augmented Intelligence
  
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-counterfactuals](https://pypi.org/project/eazyml-cf/): eazyml-counterfactuals 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).
---
Maintained by [EazyML](https://eazyml.com)
© 2025 EazyML. All rights reserved.
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"description": "## EazyML Responsible-AI: Augmented Intelligence\n  \n\n\n\nA 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.\n\n### Features\n**Pattern Mining**: Discover meaningful rules from the datasets.\n**Insight Generation**: Generate high-value insights with associated trust scores.\n**Application of Rules**: Apply discovered patterns to datasets for further analysis.\n\nIdeal for use cases like interpretability, training data analysis, and building solutions with augmented intelligence.\n\n## Installation\n### User installation\nThe easiest way to install this package for augmented intelligence is using pip:bash\npip install -U eazyml-insight### Dependencies\nThis package requires:\nwerkzeug,\nunidecode,\npandas,\nscikit-learn,\nnltk,\npyyaml,\nrequests\n\n## Usage\nHere's an example of how you can use the APIs from this package.\n```python\nfrom eazyml_augi import ez_init, ez_augi\n\n# initialize: setup book-keeping, access_key if required \n_ = ez_init()\n\n# discover insights for given dataset using EazyML.\nresponse = ez_augi(mode='classification',\n outcome='target',\n data='train.csv')\n\n# 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).\n```\n\n## Useful links, other packages from EazyML family\n- [Documentation](https://docs.eazyml.com)\n- [Homepage](https://eazyml.com)\n- If you have questions or would like to discuss a use case, please contact us [here](https://eazyml.com/trust-in-ai)\n- Here are the other packages from EazyML suite:\n\n - [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.\n - [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.\n - [eazyml-counterfactuals](https://pypi.org/project/eazyml-cf/): eazyml-counterfactuals provides APIs for optimal prescriptive analytics, counterfactual explanations, and actionable insights to optimize predictive outcomes to align with your objectives.\n - [eazyml-insight](https://pypi.org/project/eazyml-augi/): eazyml-insight provides APIs to discover patterns, generate insights, and mine rules from your datasets.\n - [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.\n - [eazyml-xai-image](https://pypi.org/project/eazyml-xai-image/): eazyml-xai-image provides APIs for image explainable AI (XAI).\n\n## License\nThis project is licensed under the [Proprietary License](https://github.com/EazyML/eazyml-docs/blob/master/LICENSE).\n\n---\n\nMaintained by [EazyML](https://eazyml.com) \n\u00a9 2025 EazyML. All rights reserved.\n",
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