Metadata-Version: 2.1
Name: supersynthetic-data-generator
Version: 0.1.3
Summary: A library to generate synthetic datasets for testing ML models
Home-page: https://github.com/UjwalWtg/supersynthetic-data-generator
Author: Ujwal Watgule
Author-email: ujwalwatgule@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.lic

# Super Synthetic Data Generator

A Python library to generate synthetic datasets for testing machine learning models. It supports:
- Tabular Data
- Text Data
- Categorical Data
- Image Data

## Installation

pip install supersynthetic-data-generator

## Usage
from supersynthetic_data_generator import get_synthetic_data

synthetic_data = get_synthetic_data(
    rows=10, cols=3, categories=["Red", "Green", "Blue"],
    imagefolder_path="image_output_folderpath",
    image_count=10, image_size=(100, 100)
)
print(synthetic_data)
