class_docstr: Configuration builder for WitWidget settings.
docstr: Sets the maximum number of class results to display for multiclass
  classification models.
  
  When using WIT with a multiclass model with a large number of possible
  classes, it can be helpful to restrict WIT to only display some smaller
  number of the highest-scoring classes as inference results for any given
  example. This method sets that limit.
  
  Args:
    max_classes: The maximum number of classes to display for inference
    results for multiclass classification models.
  
  Returns:
    self, in order to enabled method chaining.
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code: def set_max_classes_to_display(self, max_classes):
      """Sets the maximum number of class results to display for multiclass
      classification models.
  
      When using WIT with a multiclass model with a large number of possible
      classes, it can be helpful to restrict WIT to only display some smaller
      number of the highest-scoring classes as inference results for any given
      example. This method sets that limit.
  
      Args:
        max_classes: The maximum number of classes to display for inference
        results for multiclass classification models.
  
      Returns:
        self, in order to enabled method chaining.
      """
      self.store("max_classes", max_classes)
      return self
  
imports: import sys
  import tensorflow
label_desc: Use image node_id 18 for calling the WitConfigBuilder obj's underlying member method code with example usage: obj.set_max_classes_to_display(max_classes) and returns: self