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Questions - google-cloud-ml

Cannot use tensorboard with Vertex AI Custom job

I'm trying to launch a custom training job using Vertex AI through XManager. When running Custom jobs with tensorboard enabled I get a tensorboard instance in experiments -> tensorboard instances a...
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Abubakr Abd Elrazig Hassan

tensorboard

google-cloud-ml

google-cloud-vertex-ai

Votes: 0

Answers: 0

Reading csv file in R from Google Storage Bucket with cloudml or googleCloudStorageR

I want to read csv file from a Google Storage bucket. With googleCloudStorageR library : bucket_name <- "xxxxx" gfs_tmp_file <- "xxx.csv" # Set bucket default google...
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Theo75

r

google-cloud-ml

Votes: 0

Answers: 2

Latest Answer

Using googleCloudStorageR library brings raw data from the file that you read. What you can do is to insert the raw data into the dataframe as: data_frame <- data.frame( column_name1 = vector1, col...
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Jose Gutierrez Paliza

Any way to make use of ImageClassificationInstance in C#?

I keep getting Grpc.Core.RpcException: Status(StatusCode="Unimplemented" ... exception when I try to use the ImageClassificationInstance objects to classify using a model I have created in t...
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AzuxirenLeadGuy

c#

google-cloud-ml

google-ai-platform

Votes: 0

Answers: 1

Latest Answer

You must set Endpoint on PredictionServiceClientBuilder : var client = new PredictionServiceClientBuilder { Endpoint = "us-central1-aiplatform.googleapis.com" }.B...
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Daniele Ferri

Training Custom Model on Vertex AI

I have couple of of questions regarding training custom model: I am using prebuilt Google image and everything is running fine, but I am not able to get the artifacts in "local-package-path"...
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Vishwa

google-cloud-ml

custom-training

Votes: 0

Answers: 1

Latest Answer

Follow Vertex AI:Training and serving a custom model example which you can watch Build a custom ML model with Vertex AI as a demo.
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mon

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