sklearn.linear_model.RANSACRegressor 파라미터

RANSACRegressor

class sklearn.linear_model.RANSACRegressor(base_estimator=None, *, min_samples=None, residual_threshold=None, is_data_valid=None, is_model_valid=None, max_trials=100, max_skips=inf, stop_n_inliers=inf, stop_score=inf, stop_probability=0.99, loss='absolute_error', random_state=None)

 

RANSACRegressor 파라미터

base_estimatorobject, default=None

min_samplesint (>= 1) or float ([0, 1]), default=None

residual_thresholdfloat, default=None

is_data_validcallable, default=None

is_model_validcallable, default=None

max_trialsint, default=100

max_skipsint, default=np.inf

stop_n_inliersint, default=np.inf

stop_scorefloat, default=np.inf

stop_probabilityfloat in range [0, 1], default=0.99

lossstr, callable, default=’absolute_error’

 

random_stateint, RandomState instance, default=None