RANSACRegressor

RANSACRegressor

A model type for constructing a ransac regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

RANSACRegressor = @load RANSACRegressor pkg=MLJScikitLearnInterface

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

Hyper-parameters

• estimator = nothing
• min_samples = 5
• residual_threshold = nothing
• is_data_valid = nothing
• is_model_valid = nothing
• max_trials = 100
• max_skips = 9223372036854775807
• stop_n_inliers = 9223372036854775807
• stop_score = Inf
• stop_probability = 0.99
• loss = absolute_error
• random_state = nothing