Using custom containers with AI Platform Training Reviews

Tony R. · Reviewed almost 4 years ago

Anthony Z. · Reviewed almost 4 years ago

Anna Elisabetta Z. · Reviewed almost 4 years ago

Jerome V. · Reviewed almost 4 years ago

Rafael G. · Reviewed almost 4 years ago

Manikant J. · Reviewed almost 4 years ago

Tony R. · Reviewed almost 4 years ago

NameError: name 'df_train' is not defined !bq extract \ --destination_format CSV \ covertype_dataset.training \ $TRAINING_FILE_PATH Waiting on bqjob_r5a514c61aa269f4c_0000018091715755_1 ... (0s) Current status: DONE

Tony R. · Reviewed almost 4 years ago

NameError: name 'df_train' is not defined when splitting my train/val data sets it appeared as though the train file was missing, quicklabs accepted the checkpoint for splitting dataset. When I went to convert numerics to float64 "NameError: name 'df_train' is not defined" became the issue

Tony R. · Reviewed almost 4 years ago

Fayyaz F. · Reviewed almost 4 years ago

ALAN S. · Reviewed almost 4 years ago

Kiran R. · Reviewed almost 4 years ago

sachin s. · Reviewed almost 4 years ago

2 hours was not enough, processes took very long to start or to complete. Checkpoints did not turn to complete even though the task was clearly done and process was executed on the cloud. It took 10-15 minutes until I was able to mark it as done.

Georgios G. · Reviewed almost 4 years ago

Renuka H. · Reviewed almost 4 years ago

Tondam N. · Reviewed almost 4 years ago

sachin s. · Reviewed almost 4 years ago

José Luis G. · Reviewed almost 4 years ago

TieSheng W. · Reviewed almost 4 years ago

Shinichi M. · Reviewed almost 4 years ago

Alvin C. · Reviewed almost 4 years ago

Very good lab to understand e2e ml project. One drawback is consistency of the lab instruction; e.g. training split takes 80% of sample, but it actually takes 40% according to the query.

Nattacha P. · Reviewed almost 4 years ago

This was a good one, but the time was tight. There wasn't much slop with just copy pasting code from the reference notebook. I expect many/most people would run out of time.

Guy M. · Reviewed almost 4 years ago

Time is not sufficient

Ruchi A. · Reviewed almost 4 years ago

Time is not sufficient

Ruchi A. · Reviewed almost 4 years ago