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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2023-10-16 | 832 Bytes | |
| v0.12.4 source code.tar.gz | 2023-10-16 | 558.7 kB | |
| v0.12.4 source code.zip | 2023-10-16 | 573.0 kB | |
| Totals: 3 Items | 1.1 MB | 0 | |
DecisionTree v0.12.4
- (bugfix) This release fixes a bug where
labelswould internally always be converted toFloat64(https://github.com/JuliaAI/DecisionTree.jl/pull/226). This is now fixed thanks to @xinadi!
Merged pull requests:
- Apply JuliaFormatter (#219) (@rikhuijzer)
- Add .JuliaFormatter.toml (#221) (@rikhuijzer)
- Float64 replaced by AbstractFloat for regression (#226) (@xinadi)
- For a 0.12.4 release (#227) (@rikhuijzer)
Closed issues: - Multi-variable RandomForestRegressor in Julia (#190) - Standardize the way fit! and predict methods take X matrix (features) (#220) - Is out-of-bag error of RandomForestClassifier implementable ? (#223) - documentation: Clarify n_subfeatures in build_tree? (#224)