code: def __init__(self, encoder, pred_head, dim, out_dim):
      super(PredictionModel, self).__init__()
      self.encoder = encoder
  
      if pred_head is not None:
          self.pred_head = pred_head
      else:
          self.pred_head = nn.Linear(dim, out_dim)
  
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 PredictionModel object from inherited base classes: nn with example: obj = PredictionModel(encoder, pred_head, dim, out_dim)