BCELoss¶
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class
ampligraph.latent_features.
BCELoss
(eta, loss_params={}, verbose=False)¶ Binary Cross Entropy Loss.
\[\mathcal{L} = - \frac{1}{N} \sum_{i=1}^{N} y_i \cdot log(p(y_i)) + (1-y_i) \cdot log(1-p(y_i))\]Examples
>>> from ampligraph.latent_features.models import ConvE >>> model = ConvE(batches_count=1, seed=555, epochs=20, k=10, loss='bce', loss_params={})
Methods
__init__
(eta[, loss_params, verbose])Initialize Loss
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__init__
(eta, loss_params={}, verbose=False)¶ Initialize Loss
- Parameters
loss_params (dict) – Dictionary of loss-specific hyperparams:
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