public class TopKAccuracy extends AbstractAccuracy
TopKAccuracy is an Evaluator that computes the accuracy of the top k predictions.
TopKAccuracy differs from AbstractAccuracy in that it considers the prediction
to be `True` as long as the ground truth label is in the top K predicated labels. If `top_k = 1`,
then TopKAccuracy is identical to Accuracy.
axis, correctInstances, indextotalInstances| Constructor and Description |
|---|
TopKAccuracy(int topK)
Creates an instance of
TopKAccuracy evaluator that computes topK accuracy across axis
1 along the 0th index. |
TopKAccuracy(int index,
int topK)
Creates an instance of
TopKAccuracy evaluator that computes topK accuracy across axis
1 along the given index. |
TopKAccuracy(java.lang.String name,
int index,
int topK)
Creates a
TopKAccuracy instance. |
| Modifier and Type | Method and Description |
|---|---|
protected ai.djl.util.Pair<java.lang.Long,NDArray> |
accuracyHelper(NDList labels,
NDList predictions)
A helper for classes extending
AbstractAccuracy. |
addAccumulator, evaluate, getAccumulator, resetAccumulator, updateAccumulatorcheckLabelShapes, checkLabelShapes, getNamepublic TopKAccuracy(java.lang.String name,
int index,
int topK)
TopKAccuracy instance.name - the accuracy name, default "Top_K_Accuracy"index - the index of the NDArray in labels to compute topK accuracy fortopK - the value of Kpublic TopKAccuracy(int index,
int topK)
TopKAccuracy evaluator that computes topK accuracy across axis
1 along the given index.index - the index of the NDArray in labels to compute topK accuracy fortopK - the value of Kpublic TopKAccuracy(int topK)
TopKAccuracy evaluator that computes topK accuracy across axis
1 along the 0th index.topK - the value of Kprotected ai.djl.util.Pair<java.lang.Long,NDArray> accuracyHelper(NDList labels, NDList predictions)
AbstractAccuracy.accuracyHelper in class AbstractAccuracylabels - the labels to get accuracy forpredictions - the predictions to get accuracy for