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Functions316 in github.com/DrugLT/ImDrug

⨍ Functions 316◇ Types & classes 64

Args: epoch: int

lib/loss/loss_impl/class_dependent_temperatures_loss.py:34

lib/loss/loss_impl/focal_R.py:31

lib/loss/loss_impl/kld_loss.py:41

lib/loss/loss_impl/balanced_mse_loss.py:27

lib/loss/loss_impl/LDS.py:25

Args: epoch: int. starting from 1.

lib/loss/loss_impl/class_balanced_loss.py:30

Args: epoch: int. starting from 1.

lib/loss/loss_impl/class_balanced_loss.py:86

Args: epoch: int. starting from 1.

lib/loss/loss_impl/cost_sensitive_cross_entropy_loss.py:23

Args: epoch: int. starting from 1.

lib/loss/loss_impl/focal_loss.py:31

Args: epoch: int

lib/loss/loss_impl/influence_balanced_loss.py:46

Methodupdate_last_epoch_stats

lib/core/combiner.py:423

Methodupdate_running_stats

(self, features, labels, epoch)

lib/core/combiner.py:429

(*sizes, **kwargs)

lib/utils/pytorch.py:120

Functionzeros_like

(*args, **kwargs)

lib/utils/pytorch.py:132

Functionzip_data_download_wrapper

wrapper for downloading a dataset given the name and path - zip file, automatically unzipping Args: name (str): the rough dataset query name

lib/utils/load.py:51

Methodzjhbalanced

balance the label neg-pos ratio Args: oversample (bool, optional): whether or not to oversample minority or subsample maj

lib/dataset/base_dataset.py:523

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