jaccard_score, but not a
jaccard_similarity_scorefunction. Is this due to a version mismatch?
pip install tensorflow; pip install deepchem-nightly
@rbharath For a model with uncertainty prediction capabilities, when
uncertainty = True and using a trained model to
predict_uncertainty, an array of
std values corresponding to the sample y is returned.
For these 2 arrays, am I right to say that every value in the
pred array is the mean predicted value after 50 predictions (standard dropout mask of 50), and that the corresponding value in
std can be considered the standard deviation of that prediction (root of squared aleatoric and epistemic uncertainties by dropout)? Thanks a lot! And am looking forward to the new 2.4.0 version!
DiskDataset.create_dataset(shard_generator, data_dir)will generate and store all the data on disk. But is there any function to reload it from
data_dir, without having to run
shard_generatoragain? There is
dc.utils.save.save_dataset_to_disk()but this is for separate train, val, test data ...