We have hosted the application copulas in order to run this application in our online workstations with Wine or directly.


Quick description about copulas:

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


Programming Language: Python.
Categories:
Synthetic Data Generation

Page navigation:

©2024. Winfy. All Rights Reserved.

By OD Group OU – Registry code: 1609791 -VAT number: EE102345621.