Skip to main content

EazyML Responsible-AI: EazyML Segmentation

Python PyPI package Code Style

EazyML

Overview

eazyml-segmentation is a python utility designed to segment number of zip codes into their Urbanicity as Rural, Urban and Semi-Urban

Installation

To use the Segmentation , ensure you have Python installed on your system.

User installation

The easiest way to install data quality is using pip:

pip install -U eazyml-segmentation

Dependencies

This package requires:

  • pandas
  • numpy
  • cryptography

Usage

Here's an example of how you can use the APIs from this package.

Imports

from eazyml_segmentation import ez_segmentation

Initialize and Read Data

# Initialize the EazyML automl library.
_ = ez_init()

# Define ZIP data (Replace with the correct data path).
zip_data_path = "path_to_your_zip_data.csv"

# Define Thresholds.
thresholds = [1.8,2.2]

Perform Segmentation


# Call the EazyML APIs to perform segmentation 
seg_response = ez_segmentation(zip_data_path, thresholds)

You can find more information in the documentation.

Useful links, other packages from EazyML family

  • Documentation

  • Homepage

  • If you have questions or would like to discuss a use case, please contact us here

  • Here are the other packages from EazyML suite:

    • eazyml-automl: 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: 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: eazyml-counterfactual provides APIs for optimal prescriptive analytics, counterfactual explanations, and actionable insights to optimize predictive outcomes to align with your objectives.
    • eazyml-insight: eazyml-insight provides APIs to discover patterns, generate insights, and mine rules from your datasets.
    • eazyml-xai: eazyml-xai provides APIs for explainable AI (XAI), offering human-readable explanations, feature importance, and predictive reasoning.
    • eazyml-xai-image: eazyml-xai-image provides APIs for image explainable AI (XAI).

License

This project is licensed under the Proprietary License.


Maintained by EazyML
© 2025 EazyML. All rights reserved.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eazyml_segmentation-0.1.2.tar.gz (15.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

eazyml_segmentation-0.1.2-py2.py3-none-any.whl (16.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file eazyml_segmentation-0.1.2.tar.gz.

File metadata

  • Download URL: eazyml_segmentation-0.1.2.tar.gz
  • Upload date:
  • Size: 15.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for eazyml_segmentation-0.1.2.tar.gz
Algorithm Hash digest
SHA256 74997cc1fb5bd4feb05cf6f5f2825cab5c9a6dab5bdf2486f8ef68b3efd0abbf
MD5 504eca864e3d5a0e277cbed041c7a2ad
BLAKE2b-256 af7cdaee9e03d4353a46ba3ddcf08b802b60f4a7a78b3614d443fdafe968b4ab

See more details on using hashes here.

File details

Details for the file eazyml_segmentation-0.1.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for eazyml_segmentation-0.1.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6fc3b00007733fee478e03768e14201b991db99b387a3372ba627d2574bd33e9
MD5 c857cd63baa36d6f5a2cd215b5ca3114
BLAKE2b-256 f8dbc64ec0a809f0e897c0b5ce7a04fb1b952dc423d3d3078443bef37435d647

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.2 This release

2 files

0.0.9

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page