code: def __init__(self, coefficients):
      super(LogisticRegression, self).__init__()
      self.linear = torch.nn.Linear(coefficients.shape[1], 1)
  
file_path: FATE/examples/pipeline/sshe_lr/test_lr_predict_w_torch.py
imports: import argparse
  import torch
  from fate_client.pipeline import FateFlowPipeline
  from fate_client.pipeline.components.fate import Evaluation, Reader
  from fate_client.pipeline.components.fate import SSHELR, PSI
  from fate_client.pipeline.utils import test_utils
label_desc: Use image node_id 1 to create a new LogisticRegression object from inherited base classes: torch.nn with example: obj = LogisticRegression(coefficients)