v0.10.0.dev0

What's Changed

• [MNT] updates for release by @SUKI-O in #297
• MAINT Fix meson build options by @adam2392 in #307
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #304
• added bottleneck for nan calculations by @ryanhausen in #306
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #308
• Bump pypa/cibuildwheel from 2.19.2 to 2.20.0 by @dependabot in #309
• MAINT Remove irrelevant files by @adam2392 in #312
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #313
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #315
• MAINT Remove NPY deprecated api warnings during meson build by @adam2392 in #318
• Update developer docs to ensure compatibility with latest scikit-learn. by @ryanhausen in #319
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #320
• MAINT Clean up Cython files by @adam2392 in #321
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #324
• FEA Add warning to control against runtime might when wanting to run comight by @adam2392 in #323
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #325
• Bump pypa/cibuildwheel from 2.20.0 to 2.21.2 by @dependabot in #332
• Sparse Implementation of build_coleman_forest plus a fix for bottleneck import by @ryanhausen in #317
• FEA Implement pruning using honest subsample data to fit the leaves by @adam2392 in #286

New Contributors

• @ryanhausen made their first contribution in #306

Full Changelog: v0.9.1...v0.10.0

v0.9.1

What's Changed

• [RELEASE] V0.7.0 by @adam2392 in #232
• [ENH, FIX] Allow scaling_factor in trunk_mixture_classification to be specified by @adam2392 in #234
• bug fixes for trunk sims by @sampan501 in #236
• Release v0.7.1 by @adam2392 in #238
• MAINT Remove requirements files by @adam2392 in #240
• Bump softprops/action-gh-release from 1 to 2 by @dependabot in #243
• Bump pypa/cibuildwheel from 2.16.5 to 2.17.0 by @dependabot in #244
• MAINT Adding meson compiler directives by @adam2392 in #242
• MAINT Update submodule commit and remove cnp imports where possible by @adam2392 in #249
• DOC Fix docs by @adam2392 in #252
• FIX correct simulation class label for linear by @PSSF23 in #254
• ENH add treeple tutorials to website by @PSSF23 in #256
• FIX reverse simulation labels by @PSSF23 in #258
• FIX correct bug for tree posteriors by @PSSF23 in #259
• ENH optimize & add treeple tutorial figures by @PSSF23 in #260
• FIX Raise error when missing-values encountered in scikit-tree trees by @adam2392 in #264
• DOC update tutorial figure & format & ENH optimize p value calculation by @PSSF23 in #273
• change ValueError to RuntimeWarning when n_dim < n_informative by @sampan501 in #279
• DOC optimize documentation & change function name by @PSSF23 in #280
• MAINT Fix CI by @adam2392 in #281
• Bump pypa/cibuildwheel from 2.17.0 to 2.18.1 by @dependabot in #277
• MAINT HonestForestClassifier now has bootstrap=True as the default. And removing old MIGHT code by @adam2392 in #274
• MAINT Try coverage config specify pyproject.toml by @adam2392 in #285
• Bump pypa/cibuildwheel from 2.18.1 to 2.19.1 by @dependabot in #284
• ENH, FIX i) build_oob_forest backwards compatiblility with sklearn and ii) HonestForest stratification during bootstrap by @adam2392 in #283
• RELEASE Updating to v0.8 release by @adam2392 in #288
• Rename the pkg to "treeple" by @SUKI-O in #292
• Bump pypa/cibuildwheel from 2.19.1 to 2.19.2 by @dependabot in #294
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #293
• MAINT Update submodulev3 by @adam2392 in #295
• FIX ignore nan values when summing posteriors by @PSSF23 in #291
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #298
• DOC Update documentation by @adam2392 in #299
• MNT Remove unnecessary Jupyter notebook folders out of the repo by @adam2392 in #300
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #301

New Contributors

• @pre-commit-ci made their first contribution in #293

Full Changelog: v0.7.0...v0.9.1

v0.8.0

What's Changed

• [RELEASE] V0.7.0 by @adam2392 in #232
• [ENH, FIX] Allow scaling_factor in trunk_mixture_classification to be specified by @adam2392 in #234
• bug fixes for trunk sims by @sampan501 in #236
• Release v0.7.1 by @adam2392 in #238
• MAINT Remove requirements files by @adam2392 in #240
• Bump softprops/action-gh-release from 1 to 2 by @dependabot in #243
• Bump pypa/cibuildwheel from 2.16.5 to 2.17.0 by @dependabot in #244
• MAINT Adding meson compiler directives by @adam2392 in #242
• MAINT Update submodule commit and remove cnp imports where possible by @adam2392 in #249
• DOC Fix docs by @adam2392 in #252
• FIX correct simulation class label for linear by @PSSF23 in #254
• ENH add treeple tutorials to website by @PSSF23 in #256
• FIX reverse simulation labels by @PSSF23 in #258
• FIX correct bug for tree posteriors by @PSSF23 in #259
• ENH optimize & add treeple tutorial figures by @PSSF23 in #260
• FIX Raise error when missing-values encountered in scikit-tree trees by @adam2392 in #264
• DOC update tutorial figure & format & ENH optimize p value calculation by @PSSF23 in #273
• change ValueError to RuntimeWarning when n_dim < n_informative by @sampan501 in #279
• DOC optimize documentation & change function name by @PSSF23 in #280
• MAINT Fix CI by @adam2392 in #281
• Bump pypa/cibuildwheel from 2.17.0 to 2.18.1 by @dependabot in #277
• MAINT HonestForestClassifier now has bootstrap=True as the default. And removing old MIGHT code by @adam2392 in #274
• MAINT Try coverage config specify pyproject.toml by @adam2392 in #285
• Bump pypa/cibuildwheel from 2.18.1 to 2.19.1 by @dependabot in #284
• ENH, FIX i) build_oob_forest backwards compatiblility with sklearn and ii) HonestForest stratification during bootstrap by @adam2392 in #283

Full Changelog: v0.7.0...v0.8.0

v0.7.0

What's Changed

• Bump actions/setup-python from 4 to 5 by @dependabot in #189
• Bump actions/upload-artifact from 3 to 4 by @dependabot in #190
• Bump actions/download-artifact from 3 to 4 by @dependabot in #191
• ENH add MI simulations by @PSSF23 in #199
• [ENH] Efficient out-of-bag computation per honest tree by @adam2392 in #200
• Bump actions/cache from 3 to 4 by @dependabot in #202
• Bump pypa/cibuildwheel from 2.16.2 to 2.16.4 by @dependabot in #205
• [ENH] Allow HonestForest to sample higher than max_samples # of bootstraps by @adam2392 in #206
• [RELEASE] v0.6.0 by @adam2392 in #207
• [ENH] Allow max sample without bootstrap in HonestForestClassifier by @adam2392 in #210
• [ENH] A modular approach to constructing forests that have permuted covariates by @adam2392 in #211
• Bump codecov/codecov-action from 3 to 4 by @dependabot in #214
• ENH: add code for marron wand simulator by @sampan501 in #203
• FIX correct the statistic names for S@98 by @PSSF23 in #217
• [DOC] Link to quantile-forests in quantile regression examples by @adam2392 in #220
• change noise from uniform to gaussian by @sampan501 in #223
• [ENH] Getting pvalue computation ready by @adam2392 in #222
• [API] Fix HonestTreeClassifier and HonestForestClassifier to override all arguments passed to the underlying tree_estimator by @adam2392 in #228
• MAINT, API Change trunk-classification into three separate functions for generating trunk, trunk-mix, trunk-overlap and marron-wand by @adam2392 in #227
• MAINT honest API with a multi view by @adam2392 in #231

Full Changelog: v0.5...v0.7.0

v0.6.1

What's Changed

• [RELEASE] v0.6.0 by @adam2392 in #207
• [ENH] Allow max sample without bootstrap in HonestForestClassifier by @adam2392 in #210. This also removes a bug where max_samples is checked for an error.

Full Changelog: v0.6...v0.6.1

v0.6

What's Changed

• Bump actions/setup-python from 4 to 5 by @dependabot in #189
• Bump actions/upload-artifact from 3 to 4 by @dependabot in #190
• Bump actions/download-artifact from 3 to 4 by @dependabot in #191
• ENH add MI simulations by @PSSF23 in #199
• [ENH] Efficient out-of-bag computation per honest tree by @adam2392 in #200
• Bump actions/cache from 3 to 4 by @dependabot in #202
• Bump pypa/cibuildwheel from 2.16.2 to 2.16.4 by @dependabot in #205
• [ENH] Allow HonestForest to sample higher than max_samples # of bootstraps by @adam2392 in #206

Full Changelog: v0.5...v0.6

v0.5

What's Changed

• [RELEASE] Add v0.4.x by @adam2392 in #173
• Start new dev v0.5.0dev0 by @adam2392 in #174
• [DOC] Adding notebooks for might/comight cancer by @adam2392 in #172
• [ENH] Add bug-fix for multi view splitter and updates submodule by @adam2392 in #183
• [RELEASE] v0.5 release by @adam2392 in #186

Full Changelog: v0.4...v0.5

v0.4

What's Changed

• ENH add multi-view example by @PSSF23 in #154
• [DEV] Fixing the versions to now start v0.4.dev0 by @adam2392 in #160
• FIX improve performance by updating max_features by @PSSF23 in #161
• [FIX] issue#165 bug-fix by @SUKI-O in #166
• [ENH] Add option to permute per forest fraction by @adam2392 in #145
• [ENH] Add dataset generators by @adam2392 in #169
• [ENH, BUG] Test honest tree performance via quadratic simulation by @adam2392 in #164
• [ENH] Add conditional resampling using nearest-neighbor algorithm by @adam2392 in #170
• [ENH] Allow sampling feature sets separately in MultiViewDTC by @adam2392 in #152
• [MINOR RELEASE] v0.4.1 by @adam2392 in #180

Full Changelog: v0.3...v0.4

v0.3

What's Changed

• [MAINT] Begin v0.3.0dev0 by @adam2392 in #134
• [ENH, BUG] Consistency of train/test samples in forest HT by @adam2392 in #135
• ENH add pAUC example script for doc render by @PSSF23 in #136
• [MAINT] Adding v0.2.x branch by @adam2392 in #137
• Fix for MIGHT p-value shuffling all columns by default by @sampan501 in #140
• DOC update format by @PSSF23 in #139
• Bump pypa/cibuildwheel from 2.16.1 to 2.16.2 by @dependabot in #138
• [ENH] Cython axis-aligned multi-view splitter by @adam2392 in #129
• [MAINT] Update Ctypes in line with scikit-learn: main by @adam2392 in #141
• [DOC] Example of Multiview MIGHT and Forest by @adam2392 in #142
• FIX add max_fpr argument to auc example by @PSSF23 in #149
• [DOC] Adding citation file by @adam2392 in #144
• [DOC] Adding development docs to make sure it is clear how to do dev by @adam2392 in #150
• Stratify sampling when split train/test data by @YuxinB in #143
• [DOC] Add Quantile forest examples by @SUKI-O in #147
• Adding fix to honest forest feature importances by @adam2392 in #156
• [FIX] Adding fix to allow any kind of tree for honesttree by @adam2392 in #158
• [RELEASE] V0.3.x by @adam2392 in #159

New Contributors

• @YuxinB made their first contribution in #143

Full Changelog: v0.2.0...v0.3

v0.2.1

BUG fix in random sampling of forestHT estimators.

What's Changed

• [ENH, BUG] Consistency of train/test samples in forest HT by @adam2392 in #135
• ENH add pAUC example script for doc render by @PSSF23 in #136

Full Changelog: v0.2.0...v0.2.1