DOC Fix closing backtick in IterativeImputer
@@ -68,8 +68,8 @@ class IterativeImputer(_BaseImputer):
Maximum number of imputation rounds to perform before returning the
imputations computed during the final round. A round is a single
imputation of each feature with missing values. The stopping criterion
- is met once `max(abs(X_t - X_{t-1}))/max(abs(X[known_vals]))` < tol,
- where `X_t` is `X` at iteration `t. Note that early stopping is only
+ is met once `max(abs(X_t - X_{t-1}))/max(abs(X[known_vals])) < tol`,
+ where `X_t` is `X` at iteration `t`. Note that early stopping is only
applied if ``sample_posterior=False``.
tol : float, default=1e-3
