Changelog

Note: People with a "+" by their names contributed a patch for the first time.

v0.2.1

Release date: 25 February 2021

Supports: Python 3.6+.

Bug Fixes:

• hyppo.independence.Dcorr and hyppo.independence.Hsic when auto=True had low finite power, fixed.

• Fast exact statistic for hyppo.independence.Dcorr was incorrect, fixed

Documentation:

• Fix PyPi description rendering issues

• Add more descriptive contirubting guidelines

• Add ROLES.md for specification about maintainers

• Added power computation for independence increasing sample size and dimension

• Add benchmark section and move relevant examples there

• Add base classes

Maintenance:

• Fix gaussian kernel to prevent division by 0

• Add checks for Type I error

Authors:

• Sambit Panda

v0.2.0

Release date: 08 February 2021

Supports: Python 3.6+.

New features:

• Added restricted permutation functionality for Dcorr

• Kernel functions now wrap scikit-learn and support keyword arguments

• hyppo.ksample.Energy

• hyppo.ksample.DISCO

• hyppo.ksample.MMD

• Fast 1D exact Dcorr \(\mathcal{O}(n \log n)\)

• hyppo.ksample.Hotelling

• hyppo.ksample.MANOVA

• hyppo.independence.MaxMargin

Bug Fixes:

• Fixed error check for k-sample tests to be between samples instead of within

• Time series doesn't clip negative values

• Fix docs not building on netlify

• Fix p-value calculations for permutation tests to be more in line with literature

• Fix hyppo.independence.Dcorr and hyppo.independence.Hsic incorrect stats

Documentation:

• Update badges and README to FIRM guidelines

• Incorrect equation in hyppo.tools.circle docstring

• Update README to be in line with scikit-learn

• Remove literature reference section in docstrings, add links to papers

• Add docstrings for hyppo.tools functions

• Add overview.py file for an overview of the package

• Add tutorials folder, rewrite so it is more user-friendly (port independence, k-sample, time series)

• Add examples folder with more information about unique features

• Move to sphinx-gallery instead of nbconvert

• Use automodule instead of autoclass

• Make clear about the package requirements and docs requirements

• Make changelog into a single file

• Add external links to neurodata and code of conduct

• Add citing page to cite the package papers

• Make index page a clone of README

• Update MakeFile for more options

• Add intersphinx mapping with links externally (numpy, scipy, etc.) and internally

• Add docs for statistic function

• Add discriminability tutorial

Maintenance:

• Fix typos in warning commits

• Updated tests to precalculate distance matrix

• Moved from Travis CI to Circle CI

• Raise base requirements.txt to fix failing tests on CircleCI

• Add code coverage config files

• Add documentation folders and files to .gitignore

• Remove reps warning test

• Cache numba after first call to speed up runs

• Fix netlify config to new doc build structure

Authors:

• Sambit Panda

• Vivek Gopalakrishnan +

• Ronak Mehta

• Ronan Perry +

v0.1.3

Release date: 24 July 2020

Supports: Python 3.6+.

Bug Fixes:

• Prevent division by zero when calculating using default gaussian median kernel

Maintenance:

• Used sf from scipy.stats.chi2 instead of 1 - cdf for hyppo.tools.chi2_approx

Authors:

• Benjamin Pedigo +

• Anton Alayakin +

v0.1.2

Release date: 5 May 2020

Supports: Python 3.6+.

Bug Fixes:

• Fixed MMD/k-sample Hsic not running

Authors:

• Sambit Panda

v0.1.1

Release date: 28 April 2020

Supports: Python 3.6+.

Documentation:

• arXiv badge added to docs.

• OS/Software requirements and license changes updated in README

• Reference docs and tutorials added to Time Series module

Maintenance:

• Pearson, Spearman, and Kendall are no longer tests within the package.

• Python 3.5 no longer supported.

• sklearn.pairwise.pairwise_distances used instead of scipy.spatial.distance.cdist.

• Null distribution added as a class atribute

• Calculate kernel once before calculating p-value

• Upper and lower-case inputs are available for indep_test

Authors:

• Ronak Mehta +

• Sambit Panda

• Bijan Varjavand +

v0.1.0

Release date: 25 February 2020

Supports: Python 3.5+.

Note: as compared to `mgcpy`_

New features:

• Parallelization added to all tests

• hyppo.independence.Hsic is now a stand alone class

• Simulations are given module, with new k-sample and time series modules

• Discrimnability ported from r-mgc

• Benchmarks folder added with relevant notebooks comparing implementations

Maintenance:

• Modified scikit-learn API adopted (classes given unique files, organized in independence, k-sample, and time series modules.

Authors:

• Jayanta Dey +

• Sambit Panda +