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 = RANSACRegressor(random_state=0).fit(X, y)
In [2]:
In [2]: reg.inlier_mask_
Out[2]:
array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True])
Cheers,
--
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/
> On 29 Jul 2022, at 23:27, Shang-Rou Hsieh via scikit-learn
> <[email protected]> wrote:
>
> 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', # default
> residual_threshold=None, # default
> random_state=123)
>
> inlier_mask = ransac.inlier_mask_
>
>
>
> - - - -
> Here is the error message:
>
> AttributeError: 'RANSACRegressor' object has no attribute 'inlier_mask_'
>
> SO I checked the attributes of RANSACRegressor using dir (RANSACRegressor)
> and I do not find 'inlier_mask_'
>
>
> Any advise?
> Henry
>
>
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