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