I really appreciated your instruction. by the way, do you have any plan for NLP? As you did great job for image classification, it'll be really helpful if you produce new video of text classification or entity extraction. Thanks a lot !!
Hello, the last part of this tutorial focuses on transforming raw predictions into tabular format, which you could already upload to BigQuery. There are plenty of tutorials on the internet on how to do it, but I suggest starting with the one provided in the BigQuery documentation: cloud.google.com/bigquery/docs/samples/bigquery-pandas-gbq-to-gbq-simple Good luck!
Hi, creating a data frame is basically the last step in this tutorial as you can do multiple things with it as a potential as a next step. What would you like to see as a next step? Maybe I could take that into account in my upcoming tutorials :)
@@varaprasadsinguru7515 My recommendation would be to use the output file from batch prediction, iterate over each prediction and move the associated image based on the label with the Cloud Storage Python SDK or command line. cloud.google.com/storage/docs/copying-renaming-moving-objects#storage-move-object-python
![End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a]](http://i.ytimg.com/vi/ZZadMQTKJXk/mqdefault.jpg)
I think your channel is underrated. Please keep it up!
Thank you for your kind words! I am not going to stop this channel anytime in the nearest future :)
thanks for the demo. what if I have two versions of the model, and I want to use the second one instead of the first one ?
I really appreciated your instruction. by the way, do you have any plan for NLP? As you did great job for image classification, it'll be really helpful if you produce new video of text classification or entity extraction. Thanks a lot !!
Thanks, I am glad that you liked the tutorial. Also, I think this is a good suggestion - I might take a look at NLP on Vertex AI as a next thing :)
@@cloud4datascience772 Thanks for your kind response. I'm looking forward for upcoming content of NLP!!
could you please provide an example of taking the input and saving results to bigquery? thanks it would be very helpful
Hello, the last part of this tutorial focuses on transforming raw predictions into tabular format, which you could already upload to BigQuery. There are plenty of tutorials on the internet on how to do it, but I suggest starting with the one provided in the BigQuery documentation: cloud.google.com/bigquery/docs/samples/bigquery-pandas-gbq-to-gbq-simple
Good luck!
Keep it up lad :)
Hi, is it necessary to deploy model which is used for batch predection
No, it is not needed to deploy the model for batch predictions, only for online ones you would need to deploy it to an endpoint.
please upload next steps after creating data frame
Hi, creating a data frame is basically the last step in this tutorial as you can do multiple things with it as a potential as a next step.
What would you like to see as a next step? Maybe I could take that into account in my upcoming tutorials :)
@@cloud4datascience772 we need image and predicted label stored in the different folder based on predicted label
@@varaprasadsinguru7515 My recommendation would be to use the output file from batch prediction, iterate over each prediction and move the associated image based on the label with the Cloud Storage Python SDK or command line. cloud.google.com/storage/docs/copying-renaming-moving-objects#storage-move-object-python