LogisticCVClassifier
LogisticCVClassifier
A model type for constructing a logistic regression classifier with built-in cross-validation, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
LogisticCVClassifier = @load LogisticCVClassifier pkg=MLJScikitLearnInterface
Do model = LogisticCVClassifier()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in LogisticCVClassifier(Cs=...)
.
Hyper-parameters
Cs = 10
fit_intercept = true
cv = 5
dual = false
penalty = l2
scoring = nothing
solver = lbfgs
tol = 0.0001
max_iter = 100
class_weight = nothing
n_jobs = nothing
verbose = 0
refit = true
intercept_scaling = 1.0
multi_class = auto
random_state = nothing
l1_ratios = nothing