Comments (1)
Thanks for your comment. In the implementation there is an argument use_deterministic_path
of the initialiser of the model that determines whether or not you use the deterministic codes or not for the decoder. So you can set this to False if you wish to only use the latent path, as per the NP paper.
However you are right that currently the latent encoder only uses context data for training, and thus we have updated the notebook to fix this, so that it uses target data for training (note that targets contain contexts by design). Thank you for spotting this!
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Related Issues (9)
- Latent Encoder and Decoder: log_sigma transformation HOT 1
- Lack of variability of ANP result
- Inference tim in classification task HOT 1
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- Demo for classification experiment
- Reuse error HOT 1
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