tfr.keras.losses.RankingLossKey

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Ranking loss key strings.

Methods

`all_keys`

@classmethod
all_keys() -> List[str]

Class Variables
APPROX_MRR_LOSS	`'approx_mrr_loss'`
APPROX_NDCG_LOSS	`'approx_ndcg_loss'`
COUPLED_RANKDISTIL_LOSS	`'coupled_rankdistil_loss'`
GUMBEL_APPROX_NDCG_LOSS	`'gumbel_approx_ndcg_loss'`
LIST_MLE_LOSS	`'list_mle_loss'`
MEAN_SQUARED_LOSS	`'mean_squared_loss'`
ORDINAL_LOSS	`'ordinal_loss'`
PAIRWISE_HINGE_LOSS	`'pairwise_hinge_loss'`
PAIRWISE_LOGISTIC_LOSS	`'pairwise_logistic_loss'`
PAIRWISE_MSE_LOSS	`'pairwise_mse_loss'`
PAIRWISE_SOFT_ZERO_ONE_LOSS	`'pairwise_soft_zero_one_loss'`
SIGMOID_CROSS_ENTROPY_LOSS	`'sigmoid_cross_entropy_loss'`
SOFTMAX_LOSS	`'softmax_loss'`
UNIQUE_SOFTMAX_LOSS	`'unique_softmax_loss'`
YETI_LOGISTIC_LOSS	`'yeti_logistic_loss'`

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Last updated 2023-08-18 UTC.