[GitHub] ysh329 opened a new pull request #7363: Add tensorboard configure into ./common/fit.py and ./train_mnist.py
ysh329 opened a new pull request #7363: Add tensorboard configure into ./common/fit.py and ./train_mnist.py URL: https://github.com/apache/incubator-mxnet/pull/7363 Some users, including me, are confused about tensorboard usage, which after making tensorboard enable, it only draws accuracy curve of training set, not containing accuracy curve of evaluation set. Besides, the pip of tensorboard for MXNet pip is still in construction, after finishing, we'll add these parameters (`train_log`, `eval_log`) into args of parser. This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] ysh329 opened a new pull request #7363: Add tensorboard configure into ./common/fit.py and ./train_mnist.py
ysh329 opened a new pull request #7363: Add tensorboard configure into ./common/fit.py and ./train_mnist.py URL: https://github.com/apache/incubator-mxnet/pull/7363 Some users, including me, are confused about tensorboard usage, which after making tensorboard enable, it only draws accuracy curve of training set, not containing accuracy curve of evaluation set. Besides, the pip of tensorboard for MXNet pip is still in construction, after finishing, we'll add these parameters (`train_log`, `eval_log`) into args of parser. This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services