DADApy Versions Save

What's Changed

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

New Contributors

• @ollyfutur made their first contribution in https://github.com/sissa-data-science/DADApy/pull/102
• @alexserra98 made their first contribution in https://github.com/sissa-data-science/DADApy/pull/114
• @FelixWodaczek made their first contribution in https://github.com/sissa-data-science/DADApy/pull/117

Full Changelog: https://github.com/sissa-data-science/DADApy/compare/v0.2.0...v0.3.0

What's Changed

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

New Contributors

• @vdeltatto made their first contribution in https://github.com/sissa-data-science/DADApy/pull/90

Full Changelog: https://github.com/sissa-data-science/DADApy/compare/v0.1.1...v0.2.0

What's Changed

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

Full Changelog: https://github.com/sissa-data-science/DADApy/compare/v0.1.0...v0.1.1

First release of DADApy