diff --git a/doc/ui/api/trainer_config_helpers/evaluators.html b/doc/ui/api/trainer_config_helpers/evaluators.html index 850d5004de2de47fc999cd3c46538f247c0623fe..95aab0eacf92419d43adb3222a47bd74421f0cd0 100644 --- a/doc/ui/api/trainer_config_helpers/evaluators.html +++ b/doc/ui/api/trainer_config_helpers/evaluators.html @@ -61,7 +61,7 @@

BaseΒΆ

-paddle.trainer_config_helpers.evaluators.evaluator_base(input, type, label=None, weight=None, name=None, chunk_scheme=None, num_chunk_types=None, classification_threshold=0.5, positive_label=-1, dict_file='', result_file='', num_results=1, delimited=True)
+paddle.trainer_config_helpers.evaluators.evaluator_base(input, type, label=None, weight=None, name=None, chunk_scheme=None, num_chunk_types=None, classification_threshold=None, positive_label=None, dict_file=None, result_file=None, num_results=None, delimited=None)

Evaluator will evaluate the network status while training/testing.

User can use evaluator by classify/regression job. For example.

classify(prediction, output, evaluator=classification_error_evaluator)