tf.keras.metrics.binary_accuracy
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Calculates how often predictions matches binary labels.
tf.keras.metrics.binary_accuracy(
y_true, y_pred, threshold=0.5
)
Args |
|---|
y_true
|
Ground truth values. shape = [batch_size, d0, .. dN].
|
y_pred
|
The predicted values. shape = [batch_size, d0, .. dN].
|
threshold
|
(Optional) Float representing the threshold for deciding whether
prediction values are 1 or 0.
|
Returns |
|---|
Binary accuracy values. shape = [batch_size, d0, .. dN-1]
|
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub