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12 changes: 12 additions & 0 deletions third_party/bigframes_vendored/sklearn/metrics/_regression.py
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,18 @@ def r2_score(y_true, y_pred, force_finite=True) -> float:
these cases are replaced with 1.0 (perfect predictions) or 0.0 (imperfect
predictions) respectively.

**Examples:**

>>> import bigframes.pandas as bpd
>>> import bigframes.ml.metrics
>>> bpd.options.display.progress_bar = None

>>> y_true = bpd.DataFrame([3, -0.5, 2, 7])
>>> y_pred = bpd.DataFrame([2.5, 0.0, 2, 8])
>>> r2_score = bigframes.ml.metrics.r2_score(y_true, y_pred)
>>> r2_score
0.9486081370449679

Args:
y_true (Series or DataFrame of shape (n_samples,)):
Ground truth (correct) target values.
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