A library to generate synthetic datasets for testing ML models
Project description
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)
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file supersynthetic-data-generator-0.1.2.tar.gz.
File metadata
- Download URL: supersynthetic-data-generator-0.1.2.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ec35455cbd1e1e62e595bb7f909000a28c558329e792c97a223c5aaa0ad2c398
|
|
| MD5 |
24ad0e64097032bc25850b843cb198ac
|
|
| BLAKE2b-256 |
e500bcb734ffdc53402a14903464cebbb4c74b5fb665fb471fec7a4733d8cff8
|
File details
Details for the file supersynthetic_data_generator-0.1.2-py3-none-any.whl.
File metadata
- Download URL: supersynthetic_data_generator-0.1.2-py3-none-any.whl
- Upload date:
- Size: 4.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e5205cd23baa0efd6add9a6fada35e3d2c4d66c5801396f46c7ccf8b9a59d91d
|
|
| MD5 |
6e437804773c7d1467b231a815d1f454
|
|
| BLAKE2b-256 |
d5db79e5c4de40f447a17c1b9856839d93311bd2b511926b780a8bb8b0d6987d
|
