code: def least_square_sklearn(X, Y):
      from sklearn.linear_model import LinearRegression
  
      reg = LinearRegression(fit_intercept=False)
      reg.fit(X, Y)
      return reg.coef_
  
imports: import logging
  import math
  import numpy
  import torch
  from .weight_masker import WeightMasker
label_desc: Use image node_id 1 for calling a global function with example usage: least_square_sklearn(X, Y) and returns: reg