SGDClassifier
SGDClassifier
A model type for constructing a sgd classifier, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
SGDClassifier = @load SGDClassifier pkg=MLJScikitLearnInterface
Do model = SGDClassifier()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in SGDClassifier(loss=...)
.
Hyper-parameters
loss = hinge
penalty = l2
alpha = 0.0001
l1_ratio = 0.15
fit_intercept = true
max_iter = 1000
tol = 0.001
shuffle = true
verbose = 0
epsilon = 0.1
n_jobs = nothing
random_state = nothing
learning_rate = optimal
eta0 = 0.0
power_t = 0.5
early_stopping = false
validation_fraction = 0.1
n_iter_no_change = 5
class_weight = nothing
warm_start = false
average = false