code: def test_score_function():
      lr = SoftmaxRegression(
          epochs=200, eta=0.005, minibatches=1, random_seed=1
      )
      lr.fit(X, y)
      acc = lr.score(X, y)
      assert acc == 1.0, acc
  
file_path: mlxtend/mlxtend/classifier/tests/test_softmax_regression.py
imports: import numpy
  from sklearn.base import clone
  from mlxtend.classifier import SoftmaxRegression
  from mlxtend.data import iris_data
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 12 for calling a global function with example usage: test_score_function() without return types