我在Kaggle内核中设置Tensorboard时遇到麻烦。我正在尝试使用Tensorboard回调优化CNN的超参数，但我在挣扎，就像在Kaggle内核中一样，我不知道如何获取Tensorboard接口，即使它似乎已经配置了，并且这个（[ C0]）完全没有帮助我，因为它会导致错误404。
在Colab中，将tensorflow更新为tf2时，出现以下错误：
https://www.kaggle.com/aagundez/using-tensorboard-in-kaggle-kernels
而且我不知道如何解决。所以，我真的不知道该怎么办。您有什么建议吗？我可以通过使用generators和flow_from_directory（这样就不用x_train，y_train ...）以其他方式（scikit-learn，talos ...）优化我的超参数，还是可以轻松地将其转换为其他格式？预先非常感谢。
这是在带有TF2的Colab中使用Tensorboard的方式>>
ERROR: Failed to launch TensorBoard (exited with 1). Contents of stderr: Traceback (most recent call last): File "/usr/local/bin/tensorboard", line 8, in <module> sys.exit(run_main()) File "/usr/local/lib/python3.6/dist-packages/tensorboard/main.py", line 59, in run_main default.get_plugins() + default.get_dynamic_plugins(), File "/usr/local/lib/python3.6/dist-packages/tensorboard/default.py", line 110, in get_dynamic_plugins for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins') File "/usr/local/lib/python3.6/dist-packages/tensorboard/default.py", line 110, in <listcomp> for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins') File "/usr/local/lib/python3.6/dist-packages/pkg_resources/__init__.py", line 2442, in load self.require(*args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/pkg_resources/__init__.py", line 2465, in require items = working_set.resolve(reqs, env, installer, extras=self.extras) File "/usr/local/lib/python3.6/dist-packages/pkg_resources/__init__.py", line 791, in resolve raise VersionConflict(dist, req).with_context(dependent_req) pkg_resources.VersionConflict: (grpcio 1.15.0 (/usr/local/lib/python3.6/dist-packages), Requirement.parse('grpcio>=1.24.3'))
关键部分是
get_start.ipynb