Try Gemini 1.5 models , our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.
Try Gemini 1.5 models , our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.
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Method: projects.locations.modelMonitors.patch
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HTTP request
PATCH https://{service-endpoint}/v1beta1/{modelMonitor.name}
Where {service-endpoint}
is one of the supported service endpoints .
Path parameters
Parameters
modelMonitor.name
string
Immutable. Resource name of the ModelMonitor. Format: projects/{project}/locations/{location}/modelMonitors/{modelMonitor}
.
Query parameters
Parameters
updateMask
string (FieldMask
format)
Required. Mask specifying which fields to update.
This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo"
.
Request body
The request body contains an instance of ModelMonitor
.
Response body
If successful, the response body contains an instance of Operation
.
Authorization scopes
Requires the following OAuth scope:
https://www.googleapis.com/auth/cloud-platform
For more information, see the Authentication Overview .
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-04-25 UTC.
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