TensorFlow tf.keras.losses.CategoricalHinge

铰链损失函数(Hinge Loss)主要用于SVM中,最大化分割超平面的距离

ch = tf.keras.losses.CategoricalHinge()
loss = ch([0., 1., 1.], [1., 0., 1.])
print('Loss: ', loss.numpy())  # Loss: 1.0

init

__init__(
    reduction=losses_utils.ReductionV2.AUTO,
    name='categorical_hinge'
)

call

__call__(
    y_true,
    y_pred,
    sample_weight=None
)

参考:
官网
损失函数总结