class_docstr: Model of a Boolean classifier of positive/negative cross-product of input features and weights
class_docstr_tok: ["Model","of","a","Boolean","classifier","of","positive\/negative","cross-product","of","input","features","and","weights"]
code: def test_sequential(self):
      self.train_and_compare_model(False)
  
file_path: ptgnn/ptgnn/tests/simplemodel/test_model.py
imports: import tempfile
  import unittest
  from pathlib import Path
  from typing import List, Optional, Tuple
  from ptgnn.baseneuralmodel import ModelTrainer
  from ptgnn.tests.simplemodel.data import SampleDatapoint, SyntheticData
  from ptgnn.tests.simplemodel.model import SimpleRegressionModel
label_desc: Use image node_id 4 for calling the TestPytorchModel obj's underlying member method code with example usage: obj.test_sequential() without return types