v0.4.0 - 2021-01-27

This release introduces a few changes to optimize processing speed by re-implementing
the Gaussian KDE pdf to use vectorized root finding methods and also adding the option
to subsample the data during univariate selection.

General Improvements

• Make gaussian_kde faster - Issue #200 by @k15z and @fealho
• Use sub-sampling in select_univariate - Issue #183 by @csala

v0.3.3 (2020-09-18)

General Improvements

• Use corr instead of cov in the GaussianMultivariate - Issue #195 by @rollervan
• Add arguments to GaussianKDE - Issue #181 by @rollervan

New Features

• Log Laplace Distribution - Issue #188 by @rollervan

v0.3.2 (2020-08-08)

General Improvements

• Support Python 3.8 - Issue #185 by @csala
• Support scipy <1.3 - Issue #180 by @csala

New Features

• Add Uniform Univariate - Issue #179 by @rollervan

v0.3.1 (2020-07-09)

General Improvements

• Raise numpy version upper bound to 2 - Issue #178 by @csala

New Features

• Add Student T Univariate - Issue #172 by @gbonomib

Bug Fixes

• Error in Quickstarts : Unknown projection '3d' - Issue #174 by @csala

v0.3.0 (2020-03-27)

Important revamp of the internal implementation of the project, the testing
infrastructure and the documentation by Kevin Alex Zhang @k15z, Carles Sala
@csala and Kalyan Veeramachaneni @kveerama

Enhancements

• Reimplementation of the existing Univariate distributions.
• Addition of new Beta and Gamma Univariates.
• New Univariate API with automatic selection of the optimal distribution.
• Several improvements and fixes on the Bivariate and Multivariate Copulas implementation.
• New visualization module with simple plotting patterns to visualize probability distributions.
• New datasets module with toy datasets sampling functions.
• New testing infrastructure with end-to-end, numerical and large scale testing.
• Improved tutorials and documentation.

v0.2.5 - 2020-01-17

General Improvements

• Convert import_object to get_instance - Issue #114
  by @JDTheRipperPC

v0.2.4 - 2019-12-23

New Features

• Allow creating copula classes directly - Issue #117 by @csala

General Improvements

• Remove select_copula from Bivariate - Issue #118 by @csala

• Rename TruncNorm to TruncGaussian and make it non standard - Issue #102 by @csala @JDTheRipperPC

Bugs fixed

• Error on Frank and Gumble sampling - Issue #112 by @csala

v0.2.3 - 2019-09-17

New Features

• Add support to Python 3.7 - Issue #53 by @JDTheRipperPC

General Improvements

• Document RELEASE workflow - Issue #105 by @JDTheRipperPC

• Improve serialization of univariate distributions - Issue #99 by @ManuelAlvarezC and @JDTheRipperPC

Bugs fixed

• The method 'select_copula' of Bivariate return wrong CopulaType - Issue #101 by @JDTheRipperPC

v0.2.2 - 2019-07-31

New Features

• truncnorm distribution and a generic wrapper for scipy.rv_continous distributions - Issue #27 by @amontanez, @csala and @ManuelAlvarezC
• Independence bivariate copulas - Issue #46 by @aliciasun, @csala and @ManuelAlvarezC
• Option to select seed on random number generator - Issue #63 by @echo66 and @ManuelAlvarezC
• Option on Vine copulas to select number of rows to sample - Issue #77 by @ManuelAlvarezC
• Make copulas accept both scalars and arrays as arguments - Issues #85 and #90 by @ManuelAlvarezC

General Improvements

• Ability to properly handle constant data - Issues #57 and #82 by @csala and @ManuelAlvarezC
• Tests for analytics properties of copulas - Issue #61 by @ManuelAlvarezC
• Improved documentation - Issue #96 by @ManuelAlvarezC

Bugs fixed

• Fix bug on Vine copulas, that made it crash during the bivariate copula selection - Issue #64 by @echo66 and @ManuelAlvarezC

v0.2.1

• Add serialization to Vine copulas.
• Add distribution as argument for the Gaussian Copula.
• Improve Bivariate Copulas code structure to remove code duplication.
• Fix bug in Vine Copulas sampling: 'Edge' object has no attribute 'index'
• Improve code documentation.
• Improve code style and linting tools configuration.