anchor.diff:    ///
     /// Parameters:
     ///
  -  /// [trainingFeatures] A matrix with observations, that will be used by the
  +  /// [fittingData] A [DataFrame] with observations, that will be used by the
     /// classifier to learn coefficients of the hyperplane, which divides the
  -  /// features space, forming classes of the features
  +  /// features space, forming classes of the features. Should contain target
  +  /// column id (index or name)
     ///
  -  /// [trainingOutcomes] A matrix with outcomes (class labels, or dependant
  -  /// variables) for each observation from [trainingFeatures]
  +  /// [targetIndices] A collection of indices of encoded target columns (a
  +  /// column, that contains class labels or outcomes for the associated
  +  /// features)
     ///
  -  /// [iterationsLimit] A number of fitting iterations. Uses as a condition of
  -  /// convergence in the [solver]. Default value is 100
  +  /// [targetNames] A collection of strings, that serves as names for the
  +  /// encoded target columns (a column, that contains class labels or outcomes
  +  /// for the associated features)
  +  ///
  +  /// [iterationsLimit] A number of fitting iterations. Default value is 100
     ///
     /// [initialLearningRate] A value, defining velocity of the convergence of the
     /// gradient descent solver. Default value is 1e-3
  
positive.code:         LearningRateType learningRateType,
          Matrix initialWeights,
          DType dtype,
        }) = GradientSoftmaxRegressor;
  }
  
negative.code: import 'package:ml_algo/src/classifier/linear/softmax_regressor/gradient_softmax_regressor.dart';
  import 'package:ml_algo/src/classifier/linear/linear_classifier.dart';
  import 'package:ml_algo/src/helpers/features_target_split.dart';
  import 'package:ml_algo/src/model_selection/assessable.dart';
  import 'package:ml_algo/src/solver/linear/gradient/learning_rate_generator/learning_rate_type.dart';
  import 'package:ml_dataframe/ml_dataframe.dart';
  import 'package:ml_linalg/dtype.dart';
  import 'package:ml_linalg/matrix.dart';
  
  