Feature reversing input noise

[belzebot]

eras = df.era.unique()
np.random.shuffle(eras)
for era in eras:
   dfs = df[df.era == era]
   x = torch.from_numpy(dfs[features].values).float()
   y = torch.from_numpy(dfs.target.values).float()