code: def __init__(self, ft_in, nb_classes):
      super(LogReg, self).__init__()
      self.fc = nn.Linear(ft_in, nb_classes)
  
      for m in self.modules():
          self.weights_init(m)
  
imports: import copy
  import torch
  import numpy
  import torch.nn
  from tqdm import trange
  from sklearn.model_selection import StratifiedKFold
  from torch_geometric.loader import DataLoader
  from sklearn.svm import SVC
  from sklearn import preprocessing
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import GridSearchCV
label_desc: Use image node_id 1 to create a new LogReg object from inherited base classes: nn with example: obj = LogReg(ft_in, nb_classes)