To whom it may concern,
Belows are the codes:
- - - - -
from sklearn.linear_model import RANSACRegressor
ransac = RANSACRegressor(LinearRegression(),
max_trials=100, # default
min_samples=0.95,
loss='absolute_error', #
You need to fit the estimator to access the fitted attribute:
In [1]: from sklearn.linear_model import RANSACRegressor
...: from sklearn.datasets import make_regression
...: X, y = make_regression(
...: n_samples=200, n_features=2, noise=4.0, random_state=0)
...: reg = RANSACRegres
Thanks. I will give it a try.
On Friday, July 29, 2022 at 03:06:19 PM PDT, Guillaume Lemaître
wrote:
You need to fit the estimator to access the fitted attribute:
In [1]: from sklearn.linear_model import RANSACRegressor ...: from
sklearn.datasets import make_regression ...: X, y =
