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Allow custom metrics to be reported in results #173

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Merged
PGijsbers merged 2 commits into from
Oct 13, 2020
Merged

Allow custom metrics to be reported in results #173

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2a4ade4
Allow custom metrics to be reported in results
PGijsbers Oct 7, 2020
ba3969d
Remove the check for custom metric without '_'
PGijsbers Oct 7, 2020
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8 changes: 8 additions & 0 deletions amlb/results.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
from .datautils import accuracy_score, confusion_matrix, f1_score, log_loss, balanced_accuracy_score, mean_absolute_error, mean_squared_error, mean_squared_log_error, r2_score, roc_auc_score, read_csv, write_csv, is_data_frame, to_data_frame
from .resources import get as rget, config as rconfig, output_dirs
from .utils import Namespace, backup_file, cached, datetime_iso, memoize, profile
from frameworks.shared.callee import get_extension

log = logging.getLogger(__name__)

Expand Down Expand Up @@ -323,6 +324,13 @@ def __init__(self, predictions_df, info=None):
def evaluate(self, metric):
if hasattr(self, metric):
return getattr(self, metric)()
else:
# A metric may be defined twice, once for the automl system to use (e.g.
# as a scikit-learn scorer), and once in the amlb-compatible format.
# The amlb-compatible format is marked with a trailing underscore.
custom_metric = get_extension(rconfig().extensions_files, f"{metric}_")
if custom_metric is not None:
return custom_metric(self)
# raise ValueError("Metric {metric} is not supported for {type}.".format(metric=metric, type=self.type))
log.warning("Metric %s is not supported for %s!", metric, self.type)
return nan
Expand Down