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