input: def create_linear_regression_model(input_dim: int, output_dim: int) -> LinearRegressionModel:
      """Creates and initializes a neural network class in Python to model a linear regression function.
      The class is instantiated with the given input and output dimensions, and it initializes weights and bias.
      >>> model = create_linear_regression_model(3, 1)
      >>> model = {'weights': array([[0.], [0.], [0.]]), 'bias': array([[0.]])}
      >>> model = create_linear_regression_model(2, 2)
      >>> model = {'weights': array([[0., 0.], [0., 0.]]), 'bias': array([[0., 0.]])}
      """
      return LinearRegressionModel(input_dim, output_dim)
output:     class LinearRegressionModel:
          def __init__(self, input_dim, output_dim):
              self.weights = np.zeros((input_dim, output_dim))
              self.bias = np.zeros((1, output_dim))