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Releases: jinlow/forust

v0.3.3

10 Oct 21:18
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Fixed max leaves bug, and make object pickleable.

V0.3.2

09 Oct 00:34
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Adding more sklearn compatibility changes and methods to the python API.

v0.3.1

02 Oct 22:04
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Default all metadata to use ObjectSerializer for better consistency.

v0.3.0

02 Oct 15:28
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Makes the python object cloneable using the scikit-learn API, and then refactors with a lot more tests and brings python test coverage to 100%.

v0.2.26

19 Sep 21:04
aeeb3e2
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Make it so that if there are no missing records in the missing node, it just get's the weight of the parent.

v0.2.25

19 Sep 17:48
7cb2951
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Added the feature_importances_ attribute to the python api, to use with sklearn feature selectors.

v0.2.24

12 Sep 14:53
b82bcb0
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Fix bug with missing leaf not getting included in collected stats, impacting variable importance.

v0.2.23

07 Sep 15:42
5c0d30e
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Saved last tree when early stopping is hit, in addition raise a warning if multiple evaluation datasets are used.

v0.2.22

06 Sep 23:19
ddb32f8
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Fix issue where early stopping rounds wasn't actually stopping training.

v0.2.21

23 Aug 20:56
145f705
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Added the ability to force children weights to contain the parent weight, also fixed bug where learning rate wasn't applied to the root node.