class_docstr: A wrapper class for KernelPCA class of scikit-learn.
class_docstr_tok: ["A","wrapper","class","for","KernelPCA","class","of","scikit-learn","."]
docstr: Return a protected member _get_kernel.
docstr_tok: ["Return","a","protected","member","_get_kernel","."]
code: def get_kernel(self):
      """Return a protected member _get_kernel."""
      return self._get_kernel
  
file_path: pyod/pyod/models/kpca.py
imports: import numpy
  from sklearn.decomposition import KernelPCA
  from sklearn.utils import check_array, check_random_state
  from sklearn.utils.validation import check_is_fitted
  from .base import BaseDetector
  from ..utils.utility import check_parameter
label_desc: Use image node_id 3 for calling the PyODKernelPCA obj's underlying member method code with example usage: obj.get_kernel() and returns: self