docstr: Check that the kernel can be initialized with alpha.
docstr_tok: ["Check","that","the","kernel","can","be","initialized","with","alpha","."]
code: def test_initialize_alpha(self):
      """
      Check that the kernel can be initialized with alpha.
      """
      alpha = 2.0
      kernel = HammingIMQKernel(vocab_size=8)
      kernel.initialize(alpha=alpha)
      actual_value = torch.tensor(alpha).view_as(kernel.alpha)
      self.assertLess(torch.norm(kernel.alpha - actual_value), 1e-5)
  
file_path: gpytorch/test/kernels/test_hamming_kernel.py
imports: import pickle
  import unittest
  import torch
  from gpytorch.kernels import HammingIMQKernel
  from gpytorch.priors import GammaPrior
label_desc: Use image node_id 4 for calling the TestHammingIMQKernel obj's underlying member method code with example usage: obj.test_initialize_alpha() without return types