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Fix/issue 1032 nan metrics crash #1050

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Fix/issue 1032 nan metrics crash #1050

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91c892f
fix: prevent RuntimeWarning when metric history is all-NaN (fixes #1032)
Quant-Quasar Dec 19, 2025
123184a
fix: prevent RuntimeWarning when metric history is all-NaN
Quant-Quasar Dec 20, 2025
9702caf
perf: use native NumPy array for metric history processing
Quant-Quasar Dec 20, 2025
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14 changes: 9 additions & 5 deletions keras_tuner/engine/metrics_tracking.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,12 +104,16 @@ def update(self, value, step):
self._observations[step] = MetricObservation(value, step=step)

def get_best_value(self):
values = [obs.mean() for obs in self._observations.values()]
if not values:
if not self._observations:
return None
return (
np.nanmin(values) if self.direction == "min" else np.nanmax(values)
)

values = np.array([obs.mean() for obs in self._observations.values()])

# If true, return NaN immediately to avoid numpy RuntimeWarning
if np.all(np.isnan(values)):
return np.nan

return np.nanmin(values) if self.direction == "min" else np.nanmax(values)

def get_best_step(self):
best_value = self.get_best_value()
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