input: from typing import List
  
  def create_neural_network(input_dim: int, output_dim: int, batch_size: int) -> str:
      """ Creates a neural network class in Python that models a linear regression function.
      The class should include an initializer to set weights and biases, and a forward method
      to compute the output for given input data.
      >>> create_neural_network(3, 1, 5)
      'import numpy as np\nclass LinearRegressionModel:\n    def __init__(self, input_dim, output_dim):\n        self.weights = np.zeros((input_dim, output_dim))\n        self.bias = np.zeros((1, output_dim))\n\n    def forward(self, x):\n        out = np.dot(x, self.weights) + self.bias\n        return out'
      """
output:     return f'import numpy as np\nclass LinearRegressionModel:\n    def __init__(self, input_dim, output_dim):\n        self.weights = np.zeros((input_dim, output_dim))\n        self.bias = np.zeros((1, output_dim))\n\n    def forward(self, x):\n        out = np.dot(x, self.weights) + self.bias\n        return out'