class_docstr: This loads an XGBoost model directly from a raw memory dump.
  
  We can't use the JSON dump because due to numerical precision issues those
  tree can actually be wrong when feature values land almost on a threshold.
class_docstr_tok: ["This","loads","an","XGBoost","model","directly","from","a","raw","memory","dump",".","We","ca","n't","use","the","JSON","dump","because","due","to","numerical","precision","issues","those","tree","can","actually","be","wrong","when","feature","values","land","almost","on","a","threshold","."]
code: def print_info(self):
      print("--- global parameters ---")
      print("base_score =", self.base_score)
      print("num_feature =", self.num_feature)
      print("num_class =", self.num_class)
      print("contain_extra_attrs =", self.contain_extra_attrs)
      print("contain_eval_metrics =", self.contain_eval_metrics)
      print("name_obj_len =", self.name_obj_len)
      print("name_obj =", self.name_obj)
      print("name_gbm_len =", self.name_gbm_len)
      print("name_gbm =", self.name_gbm)
      print()
      print("--- gbtree specific parameters ---")
      print("num_trees =", self.num_trees)
      print("num_roots =", self.num_roots)
      print("num_feature =", self.num_feature)
      print("pad_32bit =", self.pad_32bit)
      print("num_pbuffer_deprecated =", self.num_pbuffer_deprecated)
      print("num_output_group =", self.num_output_group)
      print("size_leaf_vector =", self.size_leaf_vector)
  
imports: import json
  import os
  import struct
  import time
  import warnings
  import numpy
  import pandas
  import scipy.sparse
  import scipy.special
  from packaging import version
  from ..None import maskers
  from .._explanation import Explanation
  from ..utils import assert_import, record_import_error, safe_isinstance
  from ..utils._exceptions import DimensionError, ExplainerError, InvalidFeaturePerturbationError, InvalidMaskerError, InvalidModelError
  from ..utils._legacy import DenseData
  from ._explainer import Explainer
label_desc: Use image node_id 6 for calling the XGBTreeModelLoader obj's underlying member method code with example usage: obj.print_info() without return types