LogisticClassifier
LogisticClassifier
A model type for constructing a logistic regression classifier, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
LogisticClassifier = @load LogisticClassifier pkg=MLJScikitLearnInterface
Do model = LogisticClassifier()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in LogisticClassifier(penalty=...)
.
Hyper-parameters
penalty = l2
dual = false
tol = 0.0001
C = 1.0
fit_intercept = true
intercept_scaling = 1.0
class_weight = nothing
random_state = nothing
solver = lbfgs
max_iter = 100
multi_class = auto
verbose = 0
warm_start = false
n_jobs = nothing
l1_ratio = nothing