input: 
  def initialize_linear_regression_model(input_dim: int, output_dim: int):
      """ Initialize a linear regression model by setting the weights and bias to zero.
      >>> initialize_linear_regression_model(3, 1)
      (array([[0.],
              [0.],
              [0.]]), array([[0.]]))
      >>> initialize_linear_regression_model(2, 2)
      (array([[0., 0.],
              [0., 0.]]), array([[0., 0.]]))
      """
      weights = np.zeros((input_dim, output_dim))
      bias = np.zeros((1, output_dim))
      return weights, bias
  
output:     
      import numpy as np
  