docstr: Test fitting to a small dataset
docstr_tok: ["Test","fitting","to","a","small","dataset"]
code: def test_overfit_scscore(self):
      """Test fitting to a small dataset"""
      n_samples = 10
      n_features = 3
      n_tasks = 1
  
      # Create a dataset and an input function for processing it.
  
      X = np.random.rand(n_samples, 2, n_features)
      y = np.random.randint(2, size=(n_samples, n_tasks))
      dataset = dc.data.NumpyDataset(X, y)
  
      model = dc.models.ScScoreModel(n_features, dropouts=0)
  
      model.fit(dataset, nb_epoch=100)
      pred = model.predict(dataset)
      assert np.array_equal(y, pred[0] > pred[1])
  
file_path: deepchem/deepchem/models/tests/test_scscore.py
imports: import unittest
  import tempfile
  import pytest
  import deepchem
  import numpy
label_desc: Use image node_id 1 for calling the TestScScoreModel obj's underlying member method code with example usage: obj.test_overfit_scscore() without return types