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