metrics_utils

Module containing metrics utils.

Members

get_scorers_dict(dataset[, alternative_scorers])	Get scorers list according to model object and label column.
metric_results_to_df(results, dataset)	Get dict of metric name to tensor of classes scores, and convert it to dataframe.
ObjectDetectionAveragePrecision	Calculate average precision and recall for object detection.
AveragePrecisionRecall	Abstract class to calculate average precision and recall for various vision tasks.
ObjectDetectionTpFpFn	Calculate the TP, FP, FN and runs an evaluating function on the result.
TpFpFn	Abstract class to calculate the TP, FP, FN and runs an evaluating function on the result.
AVAILABLE_EVALUATING_FUNCTIONS
CustomClassificationScorer	Scorer that runs a custom metric for the vision classification task.
CustomMetric	Abstract class for defining custom metrics.

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