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

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Synthetic Data Generation Software

Registered

2023-05-22