eazyml-augmented-insights


Nameeazyml-augmented-insights JSON
Version 0.0.35 PyPI version JSON
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home_pagehttps://eazyml.com/
Summaryeazyml-augi provides APIs to uncover patterns, generate insights, and discover rules from training datasets.
upload_time2025-02-02 01:42:45
maintainerNone
docs_urlNone
authorEazyml
requires_python>=3.7
licenseNone
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
VCS
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requirements No requirements were recorded.
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            ## Eazyml 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-0.0.35-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 to discover patterns, generate insights, and uncover
rules in training datasets. Each discovered pattern is expressed as a set of
rules/conditions on feature variables, allowing users to analyze and apply
these insights to their data. Ideal for pattern recognition, interpretable AI,
and augmented intelligence workflows

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

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

## Installation
### User installation
The easiest way to install augmented intelligence is using pip:
```bash
pip install -U eazyml-augi
```
### Dependencies
Eazyml Augmented Intelligence requires :
- werkzeug,
- unidecode,
- pandas,
- scikit-learn,
- nltk,
- pyyaml,
- requests

## Usage
Augmented Intelligence can be used by initalizing EazyML and then getting insights for given training data.

```python
from eazyml_augi import ez_init, ez_augi
# Replace 'your_license_key' with your actual EazyML license key
ez_init(license_key="your_license_key")
# Perform data insights for given training data using EazyML.
response = ez_augi(mode='classification',
            outcome='target',
            train_file_path='train.csv')
```
You can find more information in the [documentation](https://eazyml.readthedocs.io/en/latest/packages/eazyml_augi.html).


## Useful links and similar projects
- [Documentation](https://docs.eazyml.com)
- [Homepage](https://eazyml.com)
- If you have more questions or want to discuss a specific use case please book an appointment [here](https://eazyml.com/trust-in-ai)
- Here are some other EazyML's packages :

    - [eazyml](https://pypi.org/project/eazyml/): Eazyml provides a suite of APIs for training, testing and optimizing machine learning models with built-in AutoML capabilities, hyperparameter tuning, and cross-validation.
    - [eazyml-dq](https://pypi.org/project/eazyml-dq/): `eazyml-dq` provides APIs for comprehensive data quality assessment, including bias detection, outlier identification, and data drift analysis.
    - [eazyml-cf](https://pypi.org/project/eazyml-cf/): `eazyml-cf` provides APIs for counterfactual explanations, prescriptive analytics, and actionable insights to optimize predictive outcomes.
    - [eazyml-augi](https://pypi.org/project/eazyml-augi/): `eazyml-augi` provides APIs to uncover patterns, generate insights, and discover rules from training 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 Augmented Intelligence\n![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-0.0.35-brightgreen) ![Code Style](https://img.shields.io/badge/code%20style-black-black)\n\n![EazyML](https://github.com/EazyML/eazyml-docs/raw/refs/heads/master/EazyML_logo.png)\n\nA collection of APIs to discover patterns, generate insights, and uncover\nrules in training datasets. Each discovered pattern is expressed as a set of\nrules/conditions on feature variables, allowing users to analyze and apply\nthese insights to their data. Ideal for pattern recognition, interpretable AI,\nand augmented intelligence workflows\n\n### Features\n- **Pattern Mining**: Discover meaningful rules in datasets.\n- **Insight Generation**: Generate high-value insights with associated 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 augmented intelligence solutions.\n\n## Installation\n### User installation\nThe easiest way to install augmented intelligence is using pip:\n```bash\npip install -U eazyml-augi\n```\n### Dependencies\nEazyml Augmented Intelligence requires :\n- werkzeug,\n- unidecode,\n- pandas,\n- scikit-learn,\n- nltk,\n- pyyaml,\n- requests\n\n## Usage\nAugmented Intelligence can be used by initalizing EazyML and then getting insights for given training data.\n\n```python\nfrom eazyml_augi import ez_init, ez_augi\n# Replace 'your_license_key' with your actual EazyML license key\nez_init(license_key=\"your_license_key\")\n# Perform data insights for given training data using EazyML.\nresponse = ez_augi(mode='classification',\n            outcome='target',\n            train_file_path='train.csv')\n```\nYou can find more information in the [documentation](https://eazyml.readthedocs.io/en/latest/packages/eazyml_augi.html).\n\n\n## Useful links and similar projects\n- [Documentation](https://docs.eazyml.com)\n- [Homepage](https://eazyml.com)\n- If you have more questions or want to discuss a specific use case please book an appointment [here](https://eazyml.com/trust-in-ai)\n- Here are some other EazyML's packages :\n\n    - [eazyml](https://pypi.org/project/eazyml/): Eazyml provides a suite of APIs for training, testing and optimizing machine learning models with built-in AutoML capabilities, hyperparameter tuning, and cross-validation.\n    - [eazyml-dq](https://pypi.org/project/eazyml-dq/): `eazyml-dq` provides APIs for comprehensive data quality assessment, including bias detection, outlier identification, and data drift analysis.\n    - [eazyml-cf](https://pypi.org/project/eazyml-cf/): `eazyml-cf` provides APIs for counterfactual explanations, prescriptive analytics, and actionable insights to optimize predictive outcomes.\n    - [eazyml-augi](https://pypi.org/project/eazyml-augi/): `eazyml-augi` provides APIs to uncover patterns, generate insights, and discover rules from training 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\n*Maintained by [EazyML](https://eazyml.com)*  \n*\u00c2\u00a9 2025 EazyML. All rights reserved.*\n",
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