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
Leverage AI to Automate Medical Coding
As a healthcare provider, you should be paid promptly for the services you provide to patients. Slow, inefficient, and error-prone manual coding keeps you from the financial peace you deserve. XpertDox’s autonomous coding solution accelerates the revenue cycle so you can focus on providing great healthcare.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Copulas!
