code: def transform(self, X, y=None):
      X_list = []
      if self.cat_cols:
          X_list.append(self.ohe_encs.transform(X[self.cat_cols]))
      if self.other_cols:
          X_list.append(csr_matrix(X[self.other_cols]))
      return hstack(X_list, format="csr")
  
file_path: autogluon/tabular/src/autogluon/tabular/models/xgboost/xgboost_utils.py
imports: from collections import OrderedDict
  import numpy
  from scipy.sparse import csr_matrix, hstack
  from sklearn.base import BaseEstimator, TransformerMixin
  from autogluon.core.constants import BINARY, MULTICLASS, REGRESSION, SOFTCLASS
  from ..tabular_nn.utils.categorical_encoders import OneHotMergeRaresHandleUnknownEncoder
label_desc: Use image node_id 3 for calling the OheFeatureGenerator obj's underlying member method code with example usage: obj.transform(X, y) and returns: hstack