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DOC Fix closing backtick in IterativeImputer #19476

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Merged
merged 2 commits into from
Feb 17, 2021
Merged

DOC Fix closing backtick in IterativeImputer #19476

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c4e9585
DOC Fix closing prime character in IterativeImputer
alfaro96 Feb 16, 2021
303c710
Update sklearn/impute/_iterative.py
alfaro96 Feb 17, 2021
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4 changes: 2 additions & 2 deletions 4 sklearn/impute/_iterative.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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
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