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Update flaml/automl.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
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@ -2376,7 +2376,7 @@ class AutoML(BaseEstimator):
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def cv_score_agg_func(val_loss_folds, log_metrics_folds):
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return metric_to_minimize, metrics_to_log
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```
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“val_loss_folds” - list of float, it records the loss scores of each ford; “log_metrics_folds” - list of dict/float, it records the metrics of each fords to log.
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“val_loss_folds” - list of floats, the loss scores of each fold; “log_metrics_folds” - list of dicts/floats, the metrics of each fold to log.
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This function should return the final aggregate result of all folds. A float number of the minimization objective, and a dictionary as the metrics to log or None.
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E.g.,
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