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
1 answer
runtime_version versus runtime-version in cloudml-samples/flowers/sample.sh
In Google's sample code found at cloudml-samples/flowers/sample.sh, between lines 52 and 64, is the argument "runtime_version":
# Training on CloudML is quick after preprocessing. If you ran the above
# commands asynchronously, make sure they have…
Chuck Finley
- 250
- 1
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error running job using xavier initialization on google cloud machine learning
I'm using the xavier conv2d method for initializing my variables like this:
initializer = tf.contrib.layers.xavier_initializer_conv2d()
variable = tf.get_variable(name=name,shape=shape,initializer=initializer)
the training runs locally using gcloud…
joaeba
- 73
- 1
- 4
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How to submit a job with more python scripts for training to ml cloud
I have a project with more than one file of python code.
I have a file for model, one for data utility, one for training the model.
I know how to submit a model with all the code is in one file.
How can I indicate that T have more file in my…
mosnoi ion
- 123
- 10
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votes
1 answer
Disable eval using tf.learn.Experiment
What's the best way to disable evaluation if I'm using tf.learn.Experiment?
I'm running this model which constructs an experiment.
tf.contrib.learn.Experiment(
estimator=estimator,
train_input_fn=train_input_fn,
…
Jeremy Lewi
- 6,386
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- 37
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1 answer
Issue with google cloud ml installation on local
I had followed the following instructions for setting up google-cloud-ml on LOCAL: MAC/LINUX
google-cloud-ml setup
But I am getting the following errors while verifying the setup with this command
curl…
Pratyusha Rasamsetty
- 21
- 4