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fabio-deep avatar fabio-deep commented on June 12, 2024

Hi,

I added an example here:

https://github.com/biomedia-mira/causal-gen/blob/main/notebooks/eval_example.ipynb

Hope it helps!
Fabio

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nysp78 avatar nysp78 commented on June 12, 2024

Many many thanks!

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nysp78 avatar nysp78 commented on June 12, 2024

Hello,
I tried to run the code for the evaluation on MorphoMnist, but it doesn't work properly.

In the notebook you are calling cf_epoch(vae, pgm, predictor, dataloaders, do_pa=do_pa, te_cf=te_cf, rand_sample=rand_sample), but in the train_cf.py this function gets a little bit different arguments (def cf_epoch( args: Hparams, model: nn.Module, ema: nn.Module, dataloaders: Dict[str, DataLoader], elbo_fn: TraceStorage_ELBO, optimizers: Optional[Tuple] = None, split: str = "train", ): and also seems to return different results than (preds, targets, x_cfs). Moreover the function get_metrics that the cf_epoch calls it's not implemented for the case of morphomnist.

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fabio-deep avatar fabio-deep commented on June 12, 2024

Hi!

The eval example is mostly indicative, I've updated it to make it easier to build upon:
https://github.com/biomedia-mira/causal-gen/blob/main/notebooks/eval_example.ipynb

Best,
Fabio

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