Metadata-Version: 2.1
Name: supersynthetic-data-generator
Version: 0.1.1
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
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: faker

# 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 generate_synthetic_dataset

# Generate dataset with images
synthetic_data = generate_synthetic_dataset(rows=10, cols=3, categories=["Red", "Green", "Blue"],imagefolder_path="image_output_folderpath", image_count=10, image_size=(100, 100))
print(synthetic_data["dataset"])
print("Generated Images:", synthetic_data["images"])

