Full Changelog: v0.3.0...v0.3.1

What's Changed

• bugfix: kstar_gride by @AldoGl in #96
• added cython version for data_overlap by @diegodoimo in #97
• Add basic jackknife for information imbalance (WIP) by @AldoGl in #98
• Fix docs by @AldoGl in #99
• Fixed cross NN with periodic box and added tests. by @ollyfutur in #102
• add @ollyfutur to list of contributors by @AldoGl in #103
• Causality dev by @vdeltatto in #105
• fix warnings related to float64-32 conversion by @AldoGl in #106
• add n_jobs option to compute_nn_distances by @diegodoimo in #109
• fixes issue 108 by @diegodoimo in #110
• Refactor overlap functions and add new test envs by @diegodoimo in #111
• fix Gride range_max + return ranks/datasets sizes in ID scaling functions by @diegodoimo in #112
• add python 12 compatibility by @diegodoimo in #113
• Class imbalance support for return_label_overlap method by @alexserra98 in #114
• renaming decimation and fraction in ID + cleanupoverlap unreachable code by @diegodoimo in #115
• Avoid warning about data type when using float64 by @alexdepremia in #116
• Differentiable Imbalance by @FelixWodaczek in #117
• fix feature_selection unittest by @FelixWodaczek in #118
• Add the BMTI method for density estimation by @AldoGl in #119
• kstar computation is mandatory when calling PAk by @diegodoimo in #120
• fix black linting by @diegodoimo in #121
• DII dev by @vdeltatto in #122
• Differentiable imbalance ex fix2 by @wildromi in #125
• Added instructions for readthedocs Differentiable Information Imbalance by @wildromi in #126
• information imbalance with automatic subsampling by @diegodoimo in #127
• Causality bugfix by @vdeltatto in #129
• Fix error generated in tutorial "notebook_on_intrinsicdim_densityest_clustering.ipynb" by @vdeltatto in #130
• Pvalues by @imacocco in #128

New Contributors

• @ollyfutur made their first contribution in #102
• @alexserra98 made their first contribution in #114
• @FelixWodaczek made their first contribution in #117

Full Changelog: v0.2.0...v0.3.0

What's Changed

• PaK: solution for singular likelihood hessian and infinite volume shells by @diegodoimo in #77
• Addition clustering adpy v2 and other improvements by @diegodoimo in #78
• adding naive outlier detection to mus gride by @diegodoimo in #80
• Update reference article from ArXiv to published paper by @AldoGl in #81
• optimizing overlaps with labels by @diegodoimo in #82
• fix flake8 errors by @AldoGl in #86
• add initial pyproject.toml by @AldoGl in #88
• update copyright 2021-2022 -> 2021-2023 by @AldoGl in #89
• add kstar-gride id estimator and basic test by @AldoGl in #87
• Develop causality by @vdeltatto in #90
• added Kstar binomial estimator by @imacocco in #93
• 'Return_id_scaling_2NN' now works when the class is initalized with only distance matrices by @diegodoimo in #92
• I3D by @imacocco in #83

New Contributors

• @vdeltatto made their first contribution in #90

Full Changelog: v0.1.1...v0.2.0

What's Changed

• added a reference to the arxiv package description by @AldoGl in #59
• add warning for datasets with overlapping datapoints by @diegodoimo in #60
• add option to save mus in compute_id_2nn by @diegodoimo in #62
• docs/usage: duly -> dadapy typo found by @alexdepremia by @AldoGl in #64
• docs: added a new documentation page describing the hands-on tutorial given at SISSA by @AldoGl in #65
• New ID tutorial jupyter notebbok/ small fixed to compute_id_twoNN by @diegodoimo in #66
• Updating the examples files by @alexdepremia in #63
• Save mu attribute in GRIDE by @diegodoimo in #68
• solution issue #70 in ADP cython and pure_python version by @diegodoimo in #74
• added vectorized pak version by @diegodoimo in #72
• Changed dendrogram representation by @alexdepremia in #73
• examples: add jupyter Mobius strip Jupyter notebook by @imacocco and @AldoGl in #75
• examples: add Jupyter notebook with beta-hairpin data analysis by @wildromi and @AldoGl in #76

Full Changelog: v0.1.0...v0.1.1

First release of DADApy