eazyml-segmentation 0.0.9

EazyML provides a suite of APIs for identifying the Urbanicity of zip codes based on population density

EazyML Responsible-AI: Data Quality Assessment

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.

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