PerceptronClassifier

PerceptronClassifier

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

From MLJ, the type can be imported using

PerceptronClassifier = @load PerceptronClassifier pkg=MLJScikitLearnInterface

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

Hyper-parameters

• penalty = nothing
• alpha = 0.0001
• fit_intercept = true
• max_iter = 1000
• tol = 0.001
• shuffle = true
• verbose = 0
• eta0 = 1.0
• n_jobs = nothing
• random_state = 0
• early_stopping = false
• validation_fraction = 0.1
• n_iter_no_change = 5
• class_weight = nothing
• warm_start = false