Cloud ML Engine: Qwik StartGo to Lab
I followed the steps, but the output of runing the training in the cloud and deploying the model gave me some errors about the model. The Servo directory doesn`t exist in otput/export/ And i think there was some kind of problem with the local training, because in the part where i test the predictions, there was only one class [u'0'].
I had some problems with the path where the model was set. It was not in Servo, model-dir output/export/census/1513507930 . I lost a lot of time to discover this, I lost the final of the project. In rest I can say was ok from my side.
There is an issue in the script. The directory is name 'census' instead of 'servo'
My output didn't match the guide. I'll double check first.
It was a good experience. There were some typos in the instructions, but I still managed to complete the lab. One annoying thing I found out was that I am not able to copy the commands from the lab to the Google Cloud Shell.
problem finding output/export/Servo (ticket submitted)
Pretty good lab with challenge at the end to get everything working. Cool that you can deploy a tensorflow application to the web.
Model export path is wrong (Servo instead of census). Colut ML job failed.
there are errors: Servo directlroy does not create and hence we can't launch the prediction
There was an error during cloud training, it seems to be an issue with tensorflow version. But the lab was very well written.
Had a couple of problems and needed to re-run the learning as first time tensorboard didn't find any output files (although they appeared to be in the output folder). Couldn't locate the Servo directory despite looking, so ended the lab.