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Says whether the targets are in the top K predictions.
tf.compat.v1.math.in_top_k(
predictions, targets, k, name=None
)
This outputs a batch_size bool array, an entry out[i] is true if the
prediction for the target class is finite (not inf, -inf, or nan) and among
the top k predictions among all predictions for example i. Note that the
behavior of InTopK differs from the TopK op in its handling of ties; if
multiple classes have the same prediction value and straddle the top-k
boundary, all of those classes are considered to be in the top k.
More formally, let
\(predictions_i\) be the predictions for all classes for example i,
\(targets_i\) be the target class for example i,
\(out_i\) be the output for example i,
$$out_i = predictions_{i, targets_i} \in TopKIncludingTies(predictions_i)$$
Args | |
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predictions
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A Tensor of type float32.
A batch_size x classes tensor.
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targets
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A Tensor. Must be one of the following types: int32, int64.
A batch_size vector of class ids.
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k
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An int. Number of top elements to look at for computing precision.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type bool. Computed Precision at k as a bool Tensor.
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