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Releases: garethjns/IncrementalTrees

v0.6.0

02 Jan 10:17
8a23e7f
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What's Changed

  • Update to work with dask==2022.12, scikit-learn==1.2 by @garethjns in #13

Full Changelog: v0.5.1...v0.6.0

v0.5.1

17 Aug 16:27
31aafce
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Add support for sample weights in .fit

v0.5.0

17 Aug 13:04
1d64953
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Add support for sample weights in .partial_fit

v0.4.0

23 May 22:19
064ffa4
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V0.4 (#7)

* Typo

* General tidy

* Address sonar issues

* Address sonar issues

* Update requirements

* General tidy

v0.3.1

08 Mar 20:17
af825c0
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v0.3.1 Pre-release
Pre-release
  • Bug fixes

v0.3

24 Feb 18:17
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v0.3 Pre-release
Pre-release
  • Added regressor versions of RandomForest (StreamingRFR) and ExtaTrees.
  • Can now call .fit() directly to handle random row sampling without dask
  • Added compatibility with sklearn SearchCV objects.

v0.2

24 Feb 17:51
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v0.2 Pre-release
Pre-release

v0.2
Add ExtraTreesClassifier (StreamingEXT)

v0.1
.partial_fit() for RandomForestClassifier (StreamingRFC)
.predict_proba() for RandomforestClassifier

v0.1

24 Feb 17:48
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v0.1 Pre-release
Pre-release

Models implemented:

  • StreamingRFC