A library to model multivariate data using copulas.
This release fixes a bug that occurred when calculating probability density in a gaussian copula.
RuntimeWarning: invalid value encountered in scalar divide ....
) - Issue #364 by @frances-hallow_singular=True
when calculating probability_density - Issue #374 by @fealhoThis release updates all visualizations to use plotly, and removes the matplotlib dependency.
This release removes a warning that was being raised when univariate distributions failed to fit and logs the message instead.
This release improves the random_state
functionality by taking in RandomState objects in addition to
random seeds.
This release makes Copulas compatible with Python 3.9! It also improves library maintenance by updating dependencies, reorganizing the CI workflows, adding pip check to the workflows and removing unused files.