2023-12-23
▼ ▲ aiplatform.projects.locations.tensorboards.experiments.batchCreate
Flat Path : v1/projects/{projectsId}/locations/{locationsId}/tensorboards/{tensorboardsId}/experiments/{experimentsId}:batchCreate
Parameter Order : parent
Path : v1/{+parent}:batchCreate
Description : Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Parameters :
parent
Description : Required. The resource name of the TensorboardExperiment to create the TensorboardTimeSeries in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` The TensorboardRuns referenced by the parent fields in the CreateTensorboardTimeSeriesRequest messages must be sub resources of this TensorboardExperiment.
Location : path
Required : Yes
Type : string
Pattern : ^projects/[^/]+/locations/[^/]+/tensorboards/[^/]+/experiments/[^/]+$
HTTP Method : POST
▼ ▲ aiplatform.projects.locations.tensorboards.batchRead
Parameters :
tensorboard
Description : Required. The resource name of the Tensorboard containing TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`. The TensorboardTimeSeries referenced by time_series must be sub resources of this Tensorboard.
Required : Yes
Type : string
Pattern : ^projects/[^/]+/locations/[^/]+/tensorboards/[^/]+$
Location : path
timeSeries
Location : query
Description : Required. The resource names of the TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
Repeated : Yes
Type : string
Description : Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned. Otherwise, the number limit of data points is randomly selected from this time series and returned.
HTTP Method : GET
Flat Path : v1/projects/{projectsId}/locations/{locationsId}/tensorboards/{tensorboardsId}:batchRead
Path : v1/{+tensorboard}:batchRead
Scopes : https://www.googleapis.com/auth/cloud-platform
Parameter Order : tensorboard
▼ ▲ aiplatform.projects.locations.publishers.models.streamGenerateContent
Parameters :
model
Pattern : ^projects/[^/]+/locations/[^/]+/publishers/[^/]+/models/[^/]+$
Type : string
Required : Yes
Description : Required. The name of the publisher model requested to serve the prediction. Format: `projects/{project}/locations/{location}/publishers/*/models/*`
Location : path
Scopes : https://www.googleapis.com/auth/cloud-platform
Description : Generate content with multimodal inputs with streaming support.
HTTP Method : POST
Path : v1/{+model}:streamGenerateContent
Flat Path : v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:streamGenerateContent
Parameter Order : model
▼ ▲ aiplatform.projects.locations.endpoints.streamGenerateContent
Path : v1/{+model}:streamGenerateContent
Flat Path : v1/projects/{projectsId}/locations/{locationsId}/endpoints/{endpointsId}:streamGenerateContent
HTTP Method : POST
Scopes : https://www.googleapis.com/auth/cloud-platform
Parameter Order : model
Parameters :
model
Type : string
Description : Required. The name of the publisher model requested to serve the prediction. Format: `projects/{project}/locations/{location}/publishers/*/models/*`
Pattern : ^projects/[^/]+/locations/[^/]+/endpoints/[^/]+$
Required : Yes
Location : path
Description : Generate content with multimodal inputs with streaming support.
▼ ▲ aiplatform.projects.locations.tensorboards.experiments.runs.timeSeries.batchCreate
Path : v1/{+parent}/runs/{runsId}/timeSeries:batchCreate
Parameter Order :
Flat Path : v1/projects/{projectsId}/locations/{locationsId}/tensorboards/{tensorboardsId}/experiments/{experimentsId}/runs/{runsId}/timeSeries:batchCreate
Parameters :
runsId
Location : path
Required : Yes
Type : string
parent
Required : Yes
Pattern : ^projects/[^/]+/locations/[^/]+/tensorboards/[^/]+/experiments/[^/]+$
Type : string
Description : Required. The resource name of the TensorboardExperiment to create the TensorboardTimeSeries in. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}` The TensorboardRuns referenced by the parent fields in the CreateTensorboardTimeSeriesRequest messages must be sub resources of this TensorboardExperiment.
Location : path
Description : Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
Scopes : https://www.googleapis.com/auth/cloud-platform
HTTP Method : POST
▼ ▲ aiplatform.projects.locations.tensorboards.experiments.runs.timeSeries.batchRead
Flat Path : v1/projects/{projectsId}/locations/{locationsId}/tensorboards/{tensorboardsId}/experiments/{experimentsId}/runs/{runsId}/timeSeries:batchRead
Scopes : https://www.googleapis.com/auth/cloud-platform
Path : v1/{+tensorboard}/experiments/{experimentsId}/runs/{runsId}/timeSeries:batchRead
HTTP Method : GET
Parameters :
timeSeries
Location : query
Repeated : Yes
Type : string
Description : Required. The resource names of the TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
experimentsId
Location : path
Type : string
Required : Yes
runsId
Type : string
Required : Yes
Location : path
tensorboard
Pattern : ^projects/[^/]+/locations/[^/]+/tensorboards/[^/]+$
Required : Yes
Description : Required. The resource name of the Tensorboard containing TensorboardTimeSeries to read data from. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`. The TensorboardTimeSeries referenced by time_series must be sub resources of this Tensorboard.
Type : string
Location : path
Parameter Order :
Description : Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned. Otherwise, the number limit of data points is randomly selected from this time series and returned.