[tabular] add infer throughput logging #4200
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Job PR-4200-9d2669d is done. |
| """ | ||
| y_pred_proba = self.predict_proba(X, **kwargs) | ||
| y_pred = get_pred_from_proba(y_pred_proba=y_pred_proba, problem_type=self.problem_type) | ||
| return y_pred | ||
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| def predict_proba(self, X, normalize=None, **kwargs) -> np.ndarray: | ||
| def predict_proba(self, X, *, normalize: bool | None = None, record_time: bool = False, **kwargs) -> np.ndarray: |
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why do we not set the record_time as true and by default record the time taken for prediction?
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Because calling time.time takes time, and predict is something we want to take as little time as possible for the user.
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Issue #, if available:
Resolves #4162
Description of changes:
Mainline:
This PR:
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