model_evaluation

Module containing the model evaluation checks in the vision package.

Classes

TrainTestPredictionDrift	Calculate prediction drift between train dataset and test dataset, using statistical measures.
ClassPerformance	Summarize given metrics on a dataset and model.
ConfusionMatrixReport	Calculate the confusion matrix of the model on the given dataset.
MeanAveragePrecisionReport	Summarize mean average precision metrics on a dataset and model per IoU and bounding box area.
MeanAverageRecallReport	Summarize mean average recall metrics on a dataset and model per detections and area range.
SimpleModelComparison	Compare given model score to simple model score (according to given model type).
SingleDatasetPerformance	Calculate performance metrics of a given model on a given dataset.
WeakSegmentsPerformance	Search for segments with low performance scores.

previous

TrainTestLabelDrift.update

next

TrainTestPredictionDrift