v0.3.0

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