v0.10.3

DecisionTree v0.10.3

Diff since v0.10.2

Merged pull requests:

• Fix #119 to work regardless of data scaling (#120) (@JackDunnNZ)

v0.10.2

DecisionTree v0.10.2

Diff since v0.10.1

Closed issues:

• Multi-output random forest regression (#117)

Merged pull requests:

• Install TagBot as a GitHub Action (#114) (@JuliaTagBot)
• Add tolerance for best_purity checks (#119) (@JackDunnNZ)

v0.10.1

Bug fixes:

• Removed hard-coded loss function
• Test tolerance changes

v0.10.0

• Set up CompatHelper
• Add upper-bounded [compat] entry for julia
• Add upper-bounded [compat] entry for ScikitLearnBase
• Drops support for Julia 0.7.

v0.9.2

• Fix of throw error message
• Removal of unused variables
• Removal of unnecessary Int()s

v0.9.1

Reverted @threads and @view usage in apply_proba functions
Added apply_proba tests

v0.9.0

• Use Threads instead of Distributed
• Do some precomputation to make entropy computation faster
• Use views when evaluating

v0.8.4

Fixed print issue

v0.8.3

Added Project.toml

v0.8.2

Merge pull request #94 from bensadeghi/cleanup

Little Cleanup