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| __init__ (self, model=None, loss=None, batch_size=256, regul_rate=0.0, l3_regul_rate=0.0) |
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| forward (self, data) |
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| __init__ (self) |
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| __init__ (self) |
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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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| model = model |
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| loss = loss |
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| batch_size = batch_size |
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| regul_rate = regul_rate |
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| l3_regul_rate = l3_regul_rate |
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| zero_const = nn.Parameter(torch.Tensor([0])) |
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| pi_const = nn.Parameter(torch.Tensor([3.14159265358979323846])) |
|
|
| _get_positive_score (self, score) |
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| _get_negative_score (self, score) |
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The documentation for this class was generated from the following file:
- seed_embeddings/OpenKE/module/strategy/NegativeSampling.py