how to retrain the glove or other word vectorize algorithms?
Armed in search an sequence-based model for protain-protain binding prediction, it need to retain charactor vectorize model for amino acid sequence. In this repo, I just found the pretrained api.
If you are using pre-trained embeddings, you can initialize your model with the pre-trained embeddings and train; therefore, fine-tuning the pre-trained embeddings or "retraining".
how to retrain the glove or other word vectorize algorithms? Armed in search an sequence-based model for protain-protain binding prediction, it need to retain charactor vectorize model for amino acid sequence. In this repo, I just found the pretrained api.