v1.3.1

NeuroTreeModels v1.3.1

Diff since v1.3.0

Merged pull requests:

• Dev (#13) (@jeremiedb)

Closed issues:

• Allow Tweedie loss function within NeuroTreeModels.jl (#2)

v1.3.0

NeuroTreeModels v1.3.0

Important changes

• The kwarg device (:cpu / :gpu) is moved from NeuroTreeRegressor to fit. Same for gpuID.
• Removal of outsize argument.
• Introduction of NeuroTreeClassififier, respecting the MLJ interface
• It's no longer needed to specify the number of classes (through the deprecated outsize kwarg). They're now automatically detected throuh the target variable number of levels.
• Classification tasks (using NeuroTreeClassififier) require the target variable to be <:Categorical

Diff since v1.2.0

Merged pull requests:

• add tweedie (#11) (@jeremiedb)
• Dev (#12) (@jeremiedb)

Closed issues:

• Robust preprocessing of target for classifiction tasks (#10)

v1.2.0

NeuroTreeModels v1.2.0

Diff since v1.1.1

Merged pull requests:

• Compat entry for Optimisers (#6) (@pat-alt)
• set compat to julia >= 1.9 (#7) (@jeremiedb)

Closed issues:

• Warning regarding rewrite of supports_weights (#8)
• Memory errror when transforming model to gpu (#9)

v1.1.1

NeuroTreeModels v1.1.1

Diff since v1.1.0

Merged pull requests:

• Error when fitting with CUDA not functional (adding conditional to fix) (#4) (@pat-alt)
• Dev (#5) (@jeremiedb)

v1.1.0

NeuroTreeModels v1.1.0

Diff since v1.0.1

Merged pull requests:

• Dev (#3) (@jeremiedb)

v1.0.1

NeuroTreeModels v1.0.1