code: def __init__(self):
      super(TPS05ClassificationSeq, self).__init__()
      num_feature = NUM_FEATURES
      num_class = NUM_CLASSES
      self.linear = nn.Sequential(
          linear_block(num_feature, 100, 0.3),
          linear_block(100, 250, 0.3),
          linear_block(250, 128, 0.3),
      )
  
      self.out = nn.Sequential(nn.Linear(128, num_class))
  
file_path: BigDL/python/orca/tutorial/xshards/tabular_playground_series.py
imports: from sklearn.model_selection import train_test_split
  import torch
  import torch.nn
  import torch.optim
  from bigdl.orca import init_orca_context, stop_orca_context
  import bigdl.orca.data.pandas
  from bigdl.orca.data.transformer import *
  from bigdl.orca.learn.pytorch import Estimator
  from bigdl.orca.learn.metrics import Accuracy
label_desc: Use image node_id 1 to create a new TPS05ClassificationSeq object from inherited base classes: nn with example: obj = TPS05ClassificationSeq()