input: from typing import List
  
  def neural_network_class(input_dim: int, output_dim: int) -> None:
      """Creates a neural network class in Python to model a linear regression function.
      The class should initialize weights and bias, and perform a forward pass.
      >>> neural_network_class(3, 1)
      import numpy as np
      class LinearRegressionModel:
          def __init__(self, input_dim, output_dim):
              self.weights = np.zeros((input_dim, output_dim))
              self.bias = np.zeros((1, output_dim))
          def forward(self, x):
              out = np.dot(x, self.weights) + self.bias
              return out
      Example:
      model = LinearRegressionModel(3, 1)
      x = np.array([[1, 2, 3]])
      print(model.forward(x))  # Output: [[0.]]
      """
output:     import numpy as np
      class LinearRegressionModel:
          def __init__(self, input_dim, output_dim):
              self.weights = np.zeros((input_dim, output_dim))
              self.bias = np.zeros((1, output_dim))
          def forward(self, x):
              out = np.dot(x, self.weights) + self.bias
              return out