tf.keras.losses.categorical_hinge
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Computes the categorical hinge loss between y_true and y_pred.
tf.keras.losses.categorical_hinge(
y_true, y_pred
)
Args |
|---|
y_true
|
The ground truth values. y_true values are expected to be -1 or 1.
If binary (0 or 1) labels are provided they will be converted to -1 or 1.
|
y_pred
|
The predicted values.
|
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]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