Google Cloud ML Engine is a managed, scalable service that enables building and training of machine learning models in the cloud as part of the Google Cloud suite of products: including TensorFlow, storage, BigQuery, Dataflow and others.
Questions tagged [google-cloud-ml-engine]
185 questions
0
votes
2 answers
How to use cloud ML for predictions on csv files rather than json?
Also can someone list out detailed steps to train and deploy a tensorflow model on Gcloud?
I have my own code that I would not like to change. It seems like the code has to be in some sort of aa rigid format for it to be used on Gcloud, for example…
user5887221
0
votes
1 answer
preprocessing in google cloud ml engine using google-api-php-client-services
I am using google-api-php-client-services to train my data of my PHP website in google cloud. How do I do preprocessing in…
0
votes
1 answer
How do I get online predictions in C# for my model on Cloud Machine Learning Engine?
I have successfully deployed on model on Cloud ML Engine and verified it is working with gcloud ml-engine models predict by following the instructions, now I want to send predictions to it from my C# app. How do I do that?

rhaertel80
- 8,254
- 1
- 31
- 47
0
votes
1 answer
cloud ml engine version create error 3
I copied and used this code. url : http://fdahms.com/2017/03/05/tensorflow-serving-jvm-client/
but An error occurs when deploying a version.
Model validation failed: Serving metagraph must contain exactly one SignatureDef with key: serving_default…

Rechard
- 1
- 1
0
votes
1 answer
Stackdriver logging not showing proper logs
I have been using Cloud ML and stackdriver logging service for a while. However, today there seems to be a problem and logs are not coming up as usual.
Before when issuing a job logs such as the ones under would come up.
info: Validating job…

Mark
- 414
- 2
- 13
0
votes
1 answer
Use tflearn.DNN with google cloud ml-engine
Is there a good way to deploy a model built using tflearn.DNN class to Google Cloud ML Engine? It seems like SavedModel requires input and output tensors to be defined in the prediction signature definition but unsure how to get that from…

Shaurav Garg
- 439
- 5
- 12
0
votes
1 answer
Google Cloud ML Engine pass multiple file paths as arguments
I am trying to run a job on Google Cloud ML Engine and can't seem to pass multiple file paths as arguments to the parser.
Here is what I am writing in the…

Miguel Monteiro
- 389
- 1
- 2
- 16
0
votes
1 answer
How to create a SavedModel from a TensorFlow checkpoint or model?
I was given a TensorFlow checkpoint and also an exported model, but to serve a model using Google ML Cloud, I need a saved_model.pbtxt file. It seems that I need to load the checkpoint and use SavedModelBuilder but SavedModelBuilder wants a…

blueether
- 3,666
- 4
- 26
- 32
0
votes
1 answer
Data streaming to Google Cloud ML Engine
I found that Google ml engine expects data in cloud storage, big query etc. Is there any way to stream data to ml-engine. For example, imagine that I need to use data in WordPress or Drupal site to create a tensorflow model, say a spam detector. One…
0
votes
1 answer
Basic REST call to ml.google.com Predict endpoint
I'm trying to simply call to a REST API endpoint of a model I trained and I'm having issues. I keep called the endpoint and getting a 404.
Does someone know of a basic tutorial on how to just get this endpoint setup? I just want to run it in Postman…

Tyler Findlay
- 607
- 1
- 4
- 19
0
votes
1 answer
Can we predict image captions using google-ml-engine?
The census and flowers samples show how to predict class labels using Google´s ml-engine.
Can we deploy our own model to generate image caption? If yes, how does the prediction work? What will be the format of the prediction response?
To be more…
0
votes
3 answers
Training locally with ML Engine & GCloud
I would like to train my model locally using this command:
gcloud ml-engine local train
--module-name cloud_runner
--job-dir ./tmp/output
The issue is that it complains that --job-dir: Must be of form gs://bucket/object.
This is a local train…

hellowill89
- 1,538
- 2
- 15
- 26
0
votes
1 answer
Running distributed Tensorflow on Google Cloud ML engine ClusterSpec
I am trying to run a large distributed tensorflow model on Google Cloud's ML engine and am having trouble understanding what should go on tf.train.ClusterSpec.
When you run a job on Google Cloud you can select the scale tier from BASIC, STANDARD_1,…

Miguel Monteiro
- 389
- 1
- 2
- 16
0
votes
1 answer
ML-Engine with GPUs workers errors
Hi I am using ML Engine with a custom tier made up of a complex_m master, four workers each with a GPU and one complex_m as parameter server.
The model is training a CNN. However, there seem to be trouble with the workers.
This is an image of the…

Mark
- 414
- 2
- 13
0
votes
1 answer
Google-cloud-ml-engine Internal Error
I have been running different jobs on ML-Engine for several days. All of a sudden i started getting an Internal Error just before the job is provisioned.
The errors are internal and the job retries to be provisioned on its own as can be seen in the…

Mark
- 414
- 2
- 13