XGBoostCount

XGBoostCount

A model type for constructing a eXtreme Gradient Boosting Count Regressor, based on XGBoost.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

XGBoostCount = @load XGBoostCount pkg=XGBoost

Do model = XGBoostCount() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in XGBoostCount(test=...).

Univariate discrete regression using xgboost.

Training data

In MLJ or MLJBase, bind an instance model to data with

m = machine(model, X, y)

where

• X: any table of input features, either an AbstractMatrix or Tables.jl-compatible table.
• y: is an AbstractVector continuous target.

Train using fit!(m, rows=...).

Hyper-parameters

See https://xgboost.readthedocs.io/en/stable/parameter.html.