KNeighborsRegressor

KNeighborsRegressor

A model type for constructing a K-nearest neighbors regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

KNeighborsRegressor = @load KNeighborsRegressor pkg=MLJScikitLearnInterface

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

Hyper-parameters

• n_neighbors = 5
• weights = uniform
• algorithm = auto
• leaf_size = 30
• p = 2
• metric = minkowski
• metric_params = nothing
• n_jobs = nothing