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