TensorFlow 1 version | View source on GitHub |
Says whether the targets are in the top K
predictions.
tf.math.in_top_k(
targets, predictions, 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
,
Args | |
---|---|
predictions
|
A Tensor of type float32 .
A batch_size x classes tensor.
|
targets
|
A Tensor . Must be one of the following types: int32 , int64 .
A batch_size vector of class ids.
|
k
|
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 .
|