code: def test_meta_schedule_xgb_model_no_feature():
      model = XGBModel(num_warmup_samples=0)
      tune_ctx = TuneContext(
          FullModule,
          target="llvm --num-cores 16",
          space_generator="post-order-apply",
          search_strategy="evolutionary",
      )
      candidate = MeasureCandidate(Schedule(FullModule), [])
      model.update(tune_ctx, [candidate], [_dummy_result()])
      model.predict(tune_ctx, [candidate])
  
imports: import os
  import re
  import shutil
  import tempfile
  import unittest
  from functools import partial
  from typing import List
  import numpy
  import tvm
  import tvm.testing
  from tvm.meta_schedule.cost_model import PyCostModel, RandomModel, XGBModel
  from tvm.meta_schedule.cost_model.xgb_model import PackSum, _get_custom_call_back
  from tvm.meta_schedule.feature_extractor import RandomFeatureExtractor
  from tvm.meta_schedule.runner import RunnerResult
  from tvm.meta_schedule.search_strategy import MeasureCandidate
  from tvm.meta_schedule.tune_context import TuneContext
  from tvm.meta_schedule.utils import derived_object
  from tvm.script import tir
  from tvm.tir.schedule.schedule import Schedule
label_desc: Use image node_id 9 for calling a global function with example usage: test_meta_schedule_xgb_model_no_feature() without return types