code: def sigmoid(x):
      """
      Implementation of Sigmoid function
  
      Parameters
      ----------
      x : array-like, decision scores
  
      Returns
      -------
      array-like, x after applying sigmoid
      """
      return 1 / (1 + np.exp(-x))
  
imports: from __future__ import division
  from __future__ import print_function
  import multiprocessing
  from itertools import combinations
  from multiprocessing import Pool
  import numba
  import numpy
  from sklearn.preprocessing import MinMaxScaler, RobustScaler
  from sklearn.utils import check_array
  from .base import BaseDetector
label_desc: Use image node_id 7 for calling a global function with example usage: sigmoid(x) and returns: unknown