anchor.diff:  end::max-empty-searches[]
   
   tag::max-trees[]
  -Advanced configuration option. Defines the maximum number of trees the forest is
  -allowed to contain. The maximum value is 2000. By default, this value is
  -calculated during hyperparameter optimization.
  +Advanced configuration option. Defines the maximum number of decision trees in 
  +the forest. The maximum value is 2000. By default, this value is calculated 
  +during hyperparameter optimization.
   end::max-trees[]
   
   tag::method[]
  
positive.code: 
  tag::gamma[]
  Advanced configuration option. Regularization parameter to prevent overfitting
  on the training data set. Multiplies a linear penalty associated with the size of
  individual trees in the forest. The higher the value the more training will
  prefer smaller trees. The smaller this parameter the larger individual trees
  will be and the longer training will take. By default, this value is calculated
  during hyperparameter optimization.
  end::gamma[]
  
  tag::groups[]
  
negative.code: end::dfas-early-stopping-enabled[]
  
  tag::dfas-eta-growth[]
  Advanced configuration option. Specifies the rate at which `eta` increases for 
  each new tree that is added to the forest. For example, a rate of 1.05 
  increases `eta` by 5% for each extra tree. By default, this value is calculated 
  during hyperparameter optimization. It must be between 0.5 and 2.
  end::dfas-eta-growth[]
  
  tag::dfas-feature-bag-fraction[]
  