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| __init__ (self, adv_temperature=None) |
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| get_weights (self, n_score) |
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| forward (self, p_score, n_score) |
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| predict (self, p_score, n_score) |
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| load_checkpoint (self, path) |
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| save_checkpoint (self, path) |
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| load_parameters (self, path) |
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| save_parameters (self, path) |
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| get_parameters (self, mode="numpy", param_dict=None) |
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| set_parameters (self, parameters) |
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| criterion = nn.Softplus() |
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| adv_temperature = nn.Parameter(torch.Tensor([adv_temperature])) |
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bool | adv_flag = True |
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int | adv_flag = -1) |
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| zero_const = nn.Parameter(torch.Tensor([0])) |
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| pi_const = nn.Parameter(torch.Tensor([3.14159265358979323846])) |
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◆ __init__()
OpenKE.module.loss.SoftplusLoss.SoftplusLoss.__init__ |
( |
| self, |
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| adv_temperature = None ) |
The documentation for this class was generated from the following file:
- seed_embeddings/OpenKE/module/loss/SoftplusLoss.py