Download
Copulas is a Python library for modeling multivariate distributions and sampling from them using copula functions. Given a table of numerical data, use Copulas to learn the distribution and generate new synthetic data following the same statistical properties. Choose from a variety of univariate distributions and copulas – including Archimedian Copulas, Gaussian Copulas and Vine Copulas. Compare real and synthetic data visually after building your model. Visualizations are available as 1D histograms, 2D scatterplots and 3D scatterplots. Access & manipulate learned parameters. With complete access to the internals of the model, set or tune parameters to your choosing.
Features
- Model multivariate data
- Compare real and synthetic data visually
- Access & manipulate learned parameters
- Visualize the real and synthetic data side-by-side
- Model the data using a copula and use it to create synthetic data
- The Copulas library offers many options including Gaussian Copula, Vine Copulas and Archimedian Copulas
Project Samples
Categories
Synthetic Data GenerationLicense
MIT LicenseFollow Copulas
Other Useful Business Software
Train ML Models With SQL You Already Know
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Copulas!
