code: def predict(self, X):
      X = self._validate_for_predict(X)
      predict = (
          self._sparse_predict if self._sparse else self._dense_predict
      )
      return predict(X)
  
imports: from sklearn.base import BaseEstimator
  from sklearn.base import RegressorMixin, ClassifierMixin
  import numpy
  import scipy.sparse
  from sklearn.utils import check_X_y, column_or_1d, check_array
  from sklearn.utils.validation import _num_samples
  from ctypes import *
  from os import path, curdir
  from sys import platform
label_desc: Use image node_id 7 for calling the SvmModel obj's underlying member method code with example usage: obj.predict(X) and returns: predict