anchor.diff:              1: CategoricalDataEncoderType.ordinal,
               2: CategoricalDataEncoderType.oneHot,
             },
  -          testContentFn: (features, labels, header) {
  +          testContentFn: (features, labels, header, dataFrame) {
               expect(header,
                   equals(['feature_1', 'feature_2', 'feature_3', 'score']));
               expect(
  
positive.code:           });
      });
  
      test('should encode categorical data in headless dataset', () async {
        await testCsvWithCategories(
            fileName: 'test/data_preprocessing/test_data/fake_data_headless.csv',
  
negative.code: import 'package:ml_linalg/matrix.dart';
  import 'package:test/test.dart';
  import 'package:tuple/tuple.dart';
  
  Future testCsvWithCategories(
      {String fileName,
  