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_
  
file_path: auptimizer/src/aup/compression/torch/pruning/amc/lib/utils.py
imports: import os
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: least_square_sklearn(X, Y) and returns: reg