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