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In the Med2Vec code , you have mentioned the weights as (-0.01,0.01) ,which is generating negative code embeddings. params['W_emb'] = np.random.uniform(-0.01, 0.01,
however in the paper you have mentioned that "all medical codes C to non-negative real-valued vectors of dimension m"
Can you please help me in understanding that?
Thanks,
Ankit
The text was updated successfully, but these errors were encountered:
Hello Ed,
In the Med2Vec code , you have mentioned the weights as (-0.01,0.01) ,which is generating negative code embeddings.
params['W_emb'] = np.random.uniform(-0.01, 0.01,
however in the paper you have mentioned that "all medical codes C to non-negative real-valued vectors of dimension m"
Can you please help me in understanding that?
Thanks,
Ankit
The text was updated successfully, but these errors were encountered: