class_docstr: Gradient boosting classification model.
      
class_docstr_tok: ["Gradient","boosting","classification","model","."]
code: def __init__(self, value):
      if type(value) == type("str"):
          self.internal = PythonWrapper.Model(value)
      else:
          self.internal = value
  
file_path: neoml/NeoML/Python/neoml/GradientBoost.py
imports: import numpy
  from .Utils import convert_data, get_data
  import neoml.PythonWrapper
label_desc: Use image node_id 1 to create a new GradientBoostClassificationModel object  with example: obj = GradientBoostClassificationModel(value)