code: def _treelite_format_hook(data):
      """Helper function converting data into treelite format"""
      data = _training_data_to_numpy(data[0], data[1])
      return treelite_runtime.DMatrix(data[0]), data[1]
  
imports: import treelite_runtime
  import treelite
  from cuml.benchmark.bench_helper_funcs import fit, transform, predict, fit_transform, fit_predict, fit_kneighbors, _build_cpu_skl_classifier, _build_fil_skl_classifier, _build_fil_classifier, _build_gtil_classifier, _build_optimized_fil_classifier, _build_treelite_classifier, _treelite_fil_accuracy_score, _training_data_to_numpy, _build_mnmg_umap
  from cuml.preprocessing import StandardScaler, MinMaxScaler, MaxAbsScaler, Normalizer, SimpleImputer, RobustScaler, PolynomialFeatures
  import tempfile
  import cuml
  import sklearn
  import sklearn.cluster
  import sklearn.neighbors
  import sklearn.ensemble
  import sklearn.random_projection
  import sklearn.naive_bayes
  from sklearn import metrics
  from sklearn.impute import SimpleImputer
  import cuml.metrics
  import cuml.decomposition
  import cuml.experimental
  import cuml.naive_bayes
  from cuml.dask import neighbors, cluster, manifold, decomposition, linear_model
  from cuml.internals.import_utils import has_hdbscan, has_umap
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 2 for calling a global function with example usage: _treelite_format_hook(data) and returns: treelite_runtime,  data