DOC mention predict requirement in RANSAC
@@ -74,6 +74,8 @@ class RANSACRegressor(BaseEstimator, MetaEstimatorMixin, RegressorMixin):
which is used for the stop criterion defined by `stop_score`.
Additionally, the score is used to decide which of two equally
large consensus sets is chosen as the better one.
+ * `predict(X)`: Returns predicted values using the linear model,
+ which is used to compute residual error using loss function.
If `base_estimator` is None, then
``base_estimator=sklearn.linear_model.LinearRegression()`` is used for
