GaussianProcessClassifier

GaussianProcessClassifier

A model type for constructing a Gaussian process classifier, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

GaussianProcessClassifier = @load GaussianProcessClassifier pkg=MLJScikitLearnInterface

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

Hyper-parameters

• kernel = nothing
• optimizer = fmin_l_bfgs_b
• n_restarts_optimizer = 0
• copy_X_train = true
• random_state = nothing
• max_iter_predict = 100
• warm_start = false
• multi_class = one_vs_rest