Fix typos

Author: deeperlearner

README.md

@@ -149,7 +149,7 @@ There are some examples config files in `config/examples/*.json`.
 - ImageNet dataset (The data need to be downloaded by yourself)
 - Adult dataset
 
-Try `bash scripts/run/examples.sh run_all` to run example configs.
+Try `./scripts/run/examples.sh -r` to run example configs.
 
 ### Using config files
 Modify the configurations in `.json` config files, then run:

data_loaders/imbalanced_loader.py

@@ -33,9 +33,9 @@ def __init__(self, dataset, class_weight=None, target=None,
 
             if do_transform:
                 dataset.transform(split_idx)
-
             self.train_loader = DataLoader(dataset, sampler=train_sampler, **self.init_kwargs)
             self.valid_loader = DataLoader(dataset, sampler=valid_sampler, **self.init_kwargs)
+
         elif dataset.mode == 'test':
             if do_transform:
                 dataset.transform()

data_loaders/valid_loader.py

@@ -30,9 +30,9 @@ def __init__(self, dataset, validation_split=0.0, DataLoader_kwargs=None,
 
             if do_transform:
                 dataset.transform(split_idx)
-
             self.train_loader = DataLoader(dataset, sampler=train_sampler, **self.init_kwargs)
             self.valid_loader = DataLoader(dataset, sampler=valid_sampler, **self.init_kwargs)
+
         elif dataset.mode == 'test':
             if do_transform:
                 dataset.transform()

mains/train/train.py

@@ -203,7 +203,6 @@ def objective(trial):
     CustomArgs = collections.namedtuple('CustomArgs', "flags type target")
     options = [
         CustomArgs(['--name'], type=str, target="name"),
-        CustomArgs(['--fold_idx'], type=int, target="trainer;fold_idx"),  # fold_idx > 0 means multiprocessing is enabled
         CustomArgs(['--num_workers'], type=int, target="data_loaders;train;data;kwargs;DataLoader_kwargs;num_workers"),
         CustomArgs(['--lr', '--learning_rate'], type=float, target="optimizers;model;args;lr"),
         CustomArgs(['--bs', '--batch_size'], type=int,