Scikit-tree

Latest version: v0.8.0

Safety actively analyzes 681812 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 1 of 2

0.8.0

What's Changed

0.7.1

* MAINT Remove requirements files by adam2392 in https://github.com/neurodata/scikit-tree/pull/240
* Bump softprops/action-gh-release from 1 to 2 by dependabot in https://github.com/neurodata/scikit-tree/pull/243
* Bump pypa/cibuildwheel from 2.16.5 to 2.17.0 by dependabot in https://github.com/neurodata/scikit-tree/pull/244
* MAINT Adding meson compiler directives by adam2392 in https://github.com/neurodata/scikit-tree/pull/242
* MAINT Update submodule commit and remove cnp imports where possible by adam2392 in https://github.com/neurodata/scikit-tree/pull/249
* DOC Fix docs by adam2392 in https://github.com/neurodata/scikit-tree/pull/252
* FIX correct simulation class label for linear by PSSF23 in https://github.com/neurodata/scikit-tree/pull/254
* ENH add treeple tutorials to website by PSSF23 in https://github.com/neurodata/scikit-tree/pull/256
* FIX reverse simulation labels by PSSF23 in https://github.com/neurodata/scikit-tree/pull/258
* FIX correct bug for tree posteriors by PSSF23 in https://github.com/neurodata/scikit-tree/pull/259
* ENH optimize & add treeple tutorial figures by PSSF23 in https://github.com/neurodata/scikit-tree/pull/260
* FIX Raise error when missing-values encountered in scikit-tree trees by adam2392 in https://github.com/neurodata/scikit-tree/pull/264
* DOC update tutorial figure & format & ENH optimize p value calculation by PSSF23 in https://github.com/neurodata/scikit-tree/pull/273
* change `ValueError` to `RuntimeWarning` when `n_dim < n_informative` by sampan501 in https://github.com/neurodata/scikit-tree/pull/279
* DOC optimize documentation & change function name by PSSF23 in https://github.com/neurodata/scikit-tree/pull/280
* MAINT Fix CI by adam2392 in https://github.com/neurodata/scikit-tree/pull/281
* Bump pypa/cibuildwheel from 2.17.0 to 2.18.1 by dependabot in https://github.com/neurodata/scikit-tree/pull/277
* MAINT `HonestForestClassifier` now has `bootstrap=True` as the default. And removing old MIGHT code by adam2392 in https://github.com/neurodata/scikit-tree/pull/274
* MAINT Try coverage config specify pyproject.toml by adam2392 in https://github.com/neurodata/scikit-tree/pull/285
* Bump pypa/cibuildwheel from 2.18.1 to 2.19.1 by dependabot in https://github.com/neurodata/scikit-tree/pull/284
* ENH, FIX i) `build_oob_forest` backwards compatiblility with sklearn and ii) HonestForest stratification during bootstrap by adam2392 in https://github.com/neurodata/scikit-tree/pull/283


**Full Changelog**: https://github.com/neurodata/scikit-tree/compare/v0.7.0...v0.8.0

0.7.0

What's Changed
* Bump actions/setup-python from 4 to 5 by dependabot in https://github.com/neurodata/scikit-tree/pull/189
* Bump actions/upload-artifact from 3 to 4 by dependabot in https://github.com/neurodata/scikit-tree/pull/190
* Bump actions/download-artifact from 3 to 4 by dependabot in https://github.com/neurodata/scikit-tree/pull/191
* ENH add MI simulations by PSSF23 in https://github.com/neurodata/scikit-tree/pull/199
* [ENH] Efficient out-of-bag computation per honest tree by adam2392 in https://github.com/neurodata/scikit-tree/pull/200
* Bump actions/cache from 3 to 4 by dependabot in https://github.com/neurodata/scikit-tree/pull/202
* Bump pypa/cibuildwheel from 2.16.2 to 2.16.4 by dependabot in https://github.com/neurodata/scikit-tree/pull/205
* [ENH] Allow HonestForest to sample higher than max_samples of bootstraps by adam2392 in https://github.com/neurodata/scikit-tree/pull/206

0.6.1

What's Changed

0.6

What's Changed
* Bump actions/setup-python from 4 to 5 by dependabot in https://github.com/neurodata/scikit-tree/pull/189
* Bump actions/upload-artifact from 3 to 4 by dependabot in https://github.com/neurodata/scikit-tree/pull/190
* Bump actions/download-artifact from 3 to 4 by dependabot in https://github.com/neurodata/scikit-tree/pull/191
* ENH add MI simulations by PSSF23 in https://github.com/neurodata/scikit-tree/pull/199
* [ENH] Efficient out-of-bag computation per honest tree by adam2392 in https://github.com/neurodata/scikit-tree/pull/200
* Bump actions/cache from 3 to 4 by dependabot in https://github.com/neurodata/scikit-tree/pull/202
* Bump pypa/cibuildwheel from 2.16.2 to 2.16.4 by dependabot in https://github.com/neurodata/scikit-tree/pull/205
* [ENH] Allow HonestForest to sample higher than max_samples of bootstraps by adam2392 in https://github.com/neurodata/scikit-tree/pull/206


**Full Changelog**: https://github.com/neurodata/scikit-tree/compare/v0.5...v0.6

0.6.0

* [ENH] Allow max sample without bootstrap in `HonestForestClassifier` by adam2392 in https://github.com/neurodata/scikit-tree/pull/210. This also removes a bug where `max_samples` is checked for an error.


**Full Changelog**: https://github.com/neurodata/scikit-tree/compare/v0.6...v0.6.1

Page 1 of 2

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.