Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Unreleased
differentiable NCFA
interventions
[2.0.0] - 202X-XX-XX
Changed
pyproject.toml based packaging, managed by uv and devenv
Removed
dcor
dependencyvisualize
submodule and dependencies
[1.1.0] - 2024-08-19
Added
source code for xicorrelation, updated for NumPy 2.0.0+
Removed
hypothesis_test()
in favor ofestimate_UDG()
[1.0.0] - 2024-05-29
Added
Chaterjee’s xi correlation for independence testing
sampling from (given or randomly generated) linear Gaussian minMCM
random generation of UDGs satisfying 1-pure-child condition
BIC-optimal UDG estimation
examples, documentation, and tests
Changed
functional_mcm
to use VAE framework instead of GAN-inspiredmaking api more like
sklearn
improved script to reproduce PGM demo
back to AGPLv3+ license
simplified extra dependencies to just “dgm” and “vis”
refactoring and reorganizing to improve PEP 8 compliance
Removed
gues
,grues
, andabstraction
submodules
[0.7.0] - 2022-10-18
Changed
updated licence to CNPLv7+
updated description in
setup.py
and readme to reflect expanded focus of the package
Added
grues
submodule implementing an MCMC-based method for UEC learning
[0.6.0] - 2021-06-07
Changed
licences from AGPLv3+ to CNPLv6+
Fixed
name in
setup.py
numpy depricated boolean subtraction graph.py l269
[0.5.0] - 2020-09-22
Added
can now learn functional MCM instead of just structure (using GAN architecture)
data simulation (using same GAN architecture)
module for visualizing graphs and making various other plots
vastly improved documentation site
examples
submodule, with some sample structures and data setsPGM conference demo script
more metadata to setup.py
Changed
independence_testing.dependencies()
subsumed byindependence_testing.hypothesis_test()
license from GPLv3 to AGPLv3+
using Black code formatter
Fixed
various small typo and bug fixes
[0.4.0] - 2020-07-23
Added
package now available on pip
Fixed
bug in
max_intersection_num
calculationexception handling for edgeless graph
bug with
graph.cover_edges()
use inecc.find_cm.branch()
bug with using graph copy outside of
ecc.find_cm.branch()
rather than withinbug where
graph.choose_nbrhood()
picked wrong edge (and gave edgeless nbrhood)
Removed
hack to stop while loop in
find_clique_min_cover()
Changed
default verbosity of output
reducible_graph
var name tobranch_graph
package requirements
updated README
[0.3.0] - 2020-04-13
Added
installation via pip and git
rudimentary output to update on progress
doc generating script and initial (incomplete) documentation website
tests/
directory and various files for more detailed integration and unit testing
Fixed
bug in reduction rule 2 of find_cm ecc alg that shows up on fully connected graphs
bug in reduction rule 3 of the find_cm ecc alg
incorrect dates (2018 instead of 2019) in changelog
Removed
utils.py
—distributed functions to relevant modules
Changed
indpendence_test.py
–>independence_testing.py
split up
ecc_algs.reducee()
internals for better testing/readability
[0.2.0] - 2019-11-04
Added
references and better example to README
graph.py
andecc_algorithms.py
modules—makes package more maintainable and extensibletest script
Changed
organization more in line with python package guidelines
changed from using distance covariance to distance correlation
many functions renamed according to new modules and organization
Removed
need for importing networkx to find minMCM
junk code in misc dir
[0.1.0] - 2019-10-07
Added
code in its raw, disorganized, poorly documented, inefficient state