PassiveAggressiveClassifier

PassiveAggressiveClassifier

A model type for constructing a passive aggressive classifier, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

PassiveAggressiveClassifier = @load PassiveAggressiveClassifier pkg=MLJScikitLearnInterface

Do model = PassiveAggressiveClassifier() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in PassiveAggressiveClassifier(C=...).

Hyper-parameters

  • C = 1.0
  • fit_intercept = true
  • max_iter = 100
  • tol = 0.001
  • early_stopping = false
  • validation_fraction = 0.1
  • n_iter_no_change = 5
  • shuffle = true
  • verbose = 0
  • loss = hinge
  • n_jobs = nothing
  • random_state = 0
  • warm_start = false
  • class_weight = nothing
  • average = false