added init_epoch to Glove.fit #89
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| dtype=np.float64) | ||
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| self.vectors_sum_gradients = np.ones_like(self.word_vectors) | ||
| self.biases_sum_gradients = np.ones_like(self.word_biases) |
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Please vectors_sum_gradients and biases_sum_gradients put in the if statement
if initial_epoch == 0:
...
self.vectors_sum_gradients = np.ones_like(self.word_vectors)
self.biases_sum_gradients = np.ones_like(self.word_biases)Because using it to update learning rate in fit_vectors
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Each time that we called the fit method, the weights were randomly initiated, not allowing a warm start. Therefore, we just added a way to allow the model to resume the training.
Regards