> 5 April 2021
- concept names, publication plot params [`2`](https://github.com/janosh/pymatviz/pull/2)
- clean up cumulative plots, add better data source for example plots, rename density_scatter to parity [`1`](https://github.com/janosh/pymatviz/pull/1)
- add spacegroup_hist to histograms.py [`41297ec`](https://github.com/janosh/pymatviz/commit/41297ec50cfd16ef2edb908b5e7921bae6916365)
- add clf_metrics.py [`ce4f864`](https://github.com/janosh/pymatviz/commit/ce4f8649fb1b48f8fdc2a921cab3c80887593ba5)
- initial commit [`4a985c1`](https://github.com/janosh/pymatviz/commit/4a985c1f8ebe48749da7da4d0722ebd696ffa0ab)
- add correlation.py with marchenko_pastur plot [`2e6665c`](https://github.com/janosh/pymatviz/commit/2e6665c33680a7d20636858c7f04d652d9d8700c)
- add more tests, especially for kwargs [`600adbf`](https://github.com/janosh/pymatviz/commit/600adbf0965c559af0fdf8c80644c56acb5c6038)
- add residual_vs_actual(), residual_hist() in new histograms.py, add readme glossary [`ed8393c`](https://github.com/janosh/pymatviz/commit/ed8393c0db16e0d90334fe94eaf9d607894b2bbe)
- release as PyPI package [`511b5e3`](https://github.com/janosh/pymatviz/commit/511b5e3c326bcad714596e5559814ca44797a8d4)
- manually merge branch metrics. thx CompRhys! [`c3c284d`](https://github.com/janosh/pymatviz/commit/c3c284dab501e007953c31aca01c02c025bcb369)
- add bar values percent or count to hist_elemental_prevalence, more tests for elements.py + log_scale plots in readme [`8d722f8`](https://github.com/janosh/pymatviz/commit/8d722f82dfeb736120225a4a4755baa3427de8ec)
- rename repo mlmatrics -> ml-matrics [`d5b741c`](https://github.com/janosh/pymatviz/commit/d5b741c93897a9e23c758b5729d72f5e28636d10)
- change ptable prevalence colors, log now uses base 10 [`494ac24`](https://github.com/janosh/pymatviz/commit/494ac2428795cc1796ca3409fbf66b4984fbc9d9)
- add true_pred_hist to histograms.py [`0ea0ef6`](https://github.com/janosh/pymatviz/commit/0ea0ef65a1712f3d643525c9e15bf62631fa04f0)
- add new plot ptable_elemental_ratio [`6e91792`](https://github.com/janosh/pymatviz/commit/6e917924f40a67db545bb6002ce52c4def8e503f)
- add err_decay to parity.py, display MAE + R^2 on all parity plots [`3999b60`](https://github.com/janosh/pymatviz/commit/3999b601866204a6de956c0342733b4606ea5b12)
- add type hints to parity.py [`ea94b0d`](https://github.com/janosh/pymatviz/commit/ea94b0def714cc4d92f014a3f6cf703d87462e16)
- feature: add regression basic metrics for ensembles [`141f4d9`](https://github.com/janosh/pymatviz/commit/141f4d92b7a3f174cf0634fad1adab6665c11f25)
- fea: allow pre-computed elem_counts for ratio plot, allow cmap to be changed via kwarg [`7ac598b`](https://github.com/janosh/pymatviz/commit/7ac598b73a615a85453ccaad1e95319c86a3989d)
- fix ptable_elemental_prevalence log scale colorbar [`c9d085e`](https://github.com/janosh/pymatviz/commit/c9d085eca04e241b568e30608fa95a6dab5eb24d)
- add err_decay plots + plot function names to readme [`9e994bb`](https://github.com/janosh/pymatviz/commit/9e994bbe38000c744383dc021d1fa3f91c8fcb5b)
- err_decay use analytic rand_mean rather than estimating from sample [`be2b834`](https://github.com/janosh/pymatviz/commit/be2b834fc0800613791135bb86e6896c86c93d6e)
- change ptable plots color bar to show log numbers when log_scale=True [`ed35532`](https://github.com/janosh/pymatviz/commit/ed35532f4ad66f12a19e022e07cfc7aebc8bd48b)
- add doc strings for density_scatter, residual_vs_actual, revert dependence on numpy.typing for now [`006fdff`](https://github.com/janosh/pymatviz/commit/006fdffd3b31fa1e5431db791b55537767f6d660)
- refactor using ax.set property batch setter [`5a41284`](https://github.com/janosh/pymatviz/commit/5a41284adc7d11882e44a8f8c633898cef286e53)
- add marchenko-pastur example with significant eigenvalue [`db7e725`](https://github.com/janosh/pymatviz/commit/db7e72532112d57a86a8a9b2d62fa5b822569117)
- readme add tip for how to depend on this package, regenerate requirements with pipreqs --force . [`cdae757`](https://github.com/janosh/pymatviz/commit/cdae757e731e4e7815aa3b1d29b3c3711daa7f9d)
- fix spacegroup_hist bars having wrong face colors [`6a9ee75`](https://github.com/janosh/pymatviz/commit/6a9ee759f5e301029fbf40e29c84577f2cf8cd8c)
- add github action to compress SVGs on PR [`2be7725`](https://github.com/janosh/pymatviz/commit/2be7725dae369023b5c40c5b560168a478e988b1)
- appease linter [`39a3b15`](https://github.com/janosh/pymatviz/commit/39a3b152fdabfcf98c1c8126283f86afefd19b49)
- speed up count_elements by removing for loop [`1495701`](https://github.com/janosh/pymatviz/commit/14957019e9c1183d050ee6e025d86bc7ab96685e)
- add doc strings to relevance.py [`f372631`](https://github.com/janosh/pymatviz/commit/f372631c6a49427f7ce4d38c3f1ef698c2bedfaa)
- rename branch master -> main [`f56cf6e`](https://github.com/janosh/pymatviz/commit/f56cf6e0be2fcf9f1d423252062d5fea769ceff7)
- fix requirements typo [`9653a82`](https://github.com/janosh/pymatviz/commit/9653a8245feb6107f9d901c42d557a94df1f7517)
- ptable_elemental_prevalence display original values above log-scale colorbar [`665b05c`](https://github.com/janosh/pymatviz/commit/665b05c47a978c769cc16d089274777622b2db62)
- fix qq_gaussian miscal_area [`8239949`](https://github.com/janosh/pymatviz/commit/82399495796340ac58d2f139c72aedb2a908e8ad)