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https://github.com/imjasonh/gcloud-help
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77 lines
2 KiB
Text
77 lines
2 KiB
Text
NAME
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gcloud beta ai endpoints - manage Vertex AI endpoints
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SYNOPSIS
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gcloud beta ai endpoints COMMAND [GCLOUD_WIDE_FLAG ...]
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DESCRIPTION
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(BETA) An endpoint contains one or more deployed models, all of which must
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have the same interface but may come from different models. An endpoint is
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to obtain online prediction and explanation from one of its deployed
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models.
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When you communicate with Vertex AI services, you identify a specific
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endpoint that is deployed in the cloud using a combination of the current
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project, the region, and the endpoint.
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --help.
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Run $ gcloud help for details.
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COMMANDS
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COMMAND is one of the following:
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create
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(BETA) Create a new Vertex AI endpoint.
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delete
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(BETA) Delete an existing Vertex AI endpoint.
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deploy-model
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(BETA) Deploy a model to an existing Vertex AI endpoint.
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describe
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(BETA) Describe an existing Vertex AI endpoint.
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direct-predict
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(BETA) Run Vertex AI online direct prediction.
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direct-raw-predict
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(BETA) Run Vertex AI online direct raw prediction.
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explain
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(BETA) Request an online explanation from an Vertex AI endpoint.
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list
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(BETA) List existing Vertex AI endpoints.
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predict
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(BETA) Run Vertex AI online prediction.
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raw-predict
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(BETA) Run Vertex AI online raw prediction.
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stream-direct-predict
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(BETA) Run Vertex AI online stream direct prediction.
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stream-direct-raw-predict
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(BETA) Run Vertex AI online stream direct raw prediction.
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stream-raw-predict
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(BETA) Run Vertex AI online stream raw prediction.
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undeploy-model
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(BETA) Undeploy a model from an existing Vertex AI endpoint.
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update
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(BETA) Update an existing Vertex AI endpoint.
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NOTES
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This command is currently in beta and might change without notice. These
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variants are also available:
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$ gcloud ai endpoints
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$ gcloud alpha ai endpoints
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