google-native.aiplatform.v1.getTimeSeries

Google Cloud Native v0.32.0, Nov 29 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

Schema (JSON)

pulumi/pulumi-google-native

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

Schema (JSON)

pulumi/pulumi-google-native

Using getTimeSeries

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getTimeSeries(args: GetTimeSeriesArgs, opts?: InvokeOptions): Promise<GetTimeSeriesResult>
function getTimeSeriesOutput(args: GetTimeSeriesOutputArgs, opts?: InvokeOptions): Output<GetTimeSeriesResult>

def get_time_series(experiment_id: Optional[str] = None,
                    location: Optional[str] = None,
                    project: Optional[str] = None,
                    run_id: Optional[str] = None,
                    tensorboard_id: Optional[str] = None,
                    time_series_id: Optional[str] = None,
                    opts: Optional[InvokeOptions] = None) -> GetTimeSeriesResult
def get_time_series_output(experiment_id: Optional[pulumi.Input[str]] = None,
                    location: Optional[pulumi.Input[str]] = None,
                    project: Optional[pulumi.Input[str]] = None,
                    run_id: Optional[pulumi.Input[str]] = None,
                    tensorboard_id: Optional[pulumi.Input[str]] = None,
                    time_series_id: Optional[pulumi.Input[str]] = None,
                    opts: Optional[InvokeOptions] = None) -> Output[GetTimeSeriesResult]

func LookupTimeSeries(ctx *Context, args *LookupTimeSeriesArgs, opts ...InvokeOption) (*LookupTimeSeriesResult, error)
func LookupTimeSeriesOutput(ctx *Context, args *LookupTimeSeriesOutputArgs, opts ...InvokeOption) LookupTimeSeriesResultOutput

> Note: This function is named LookupTimeSeries in the Go SDK.

public static class GetTimeSeries 
{
    public static Task<GetTimeSeriesResult> InvokeAsync(GetTimeSeriesArgs args, InvokeOptions? opts = null)
    public static Output<GetTimeSeriesResult> Invoke(GetTimeSeriesInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetTimeSeriesResult> getTimeSeries(GetTimeSeriesArgs args, InvokeOptions options)
public static Output<GetTimeSeriesResult> getTimeSeries(GetTimeSeriesArgs args, InvokeOptions options)

fn::invoke:
  function: google-native:aiplatform/v1:getTimeSeries
  arguments:
    # arguments dictionary

The following arguments are supported:

ExperimentId string
Location string
RunId string
TensorboardId string
TimeSeriesId string
Project string

ExperimentId string
Location string
RunId string
TensorboardId string
TimeSeriesId string
Project string

experimentId String
location String
runId String
tensorboardId String
timeSeriesId String
project String

experimentId string
location string
runId string
tensorboardId string
timeSeriesId string
project string

experiment_id str
location str
run_id str
tensorboard_id str
time_series_id str
project str

experimentId String
location String
runId String
tensorboardId String
timeSeriesId String
project String

getTimeSeries Result

The following output properties are available:

CreateTime string: Timestamp when this TensorboardTimeSeries was created.
Description string: Description of this TensorboardTimeSeries.
DisplayName string: User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
Etag string: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Metadata Pulumi.GoogleNative.Aiplatform.V1.Outputs.GoogleCloudAiplatformV1TensorboardTimeSeriesMetadataResponse: Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
Name string: Name of the TensorboardTimeSeries.
PluginData string: Data of the current plugin, with the size limited to 65KB.
PluginName string: Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
UpdateTime string: Timestamp when this TensorboardTimeSeries was last updated.
ValueType string: Immutable. Type of TensorboardTimeSeries value.

CreateTime string: Timestamp when this TensorboardTimeSeries was created.
Description string: Description of this TensorboardTimeSeries.
DisplayName string: User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
Etag string: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Metadata GoogleCloudAiplatformV1TensorboardTimeSeriesMetadataResponse: Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
Name string: Name of the TensorboardTimeSeries.
PluginData string: Data of the current plugin, with the size limited to 65KB.
PluginName string: Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
UpdateTime string: Timestamp when this TensorboardTimeSeries was last updated.
ValueType string: Immutable. Type of TensorboardTimeSeries value.

createTime String: Timestamp when this TensorboardTimeSeries was created.
description String: Description of this TensorboardTimeSeries.
displayName String: User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
etag String: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
metadata GoogleCloudAiplatformV1TensorboardTimeSeriesMetadataResponse: Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
name String: Name of the TensorboardTimeSeries.
pluginData String: Data of the current plugin, with the size limited to 65KB.
pluginName String: Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
updateTime String: Timestamp when this TensorboardTimeSeries was last updated.
valueType String: Immutable. Type of TensorboardTimeSeries value.

createTime string: Timestamp when this TensorboardTimeSeries was created.
description string: Description of this TensorboardTimeSeries.
displayName string: User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
etag string: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
metadata GoogleCloudAiplatformV1TensorboardTimeSeriesMetadataResponse: Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
name string: Name of the TensorboardTimeSeries.
pluginData string: Data of the current plugin, with the size limited to 65KB.
pluginName string: Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
updateTime string: Timestamp when this TensorboardTimeSeries was last updated.
valueType string: Immutable. Type of TensorboardTimeSeries value.

create_time str: Timestamp when this TensorboardTimeSeries was created.
description str: Description of this TensorboardTimeSeries.
display_name str: User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
etag str: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
metadata GoogleCloudAiplatformV1TensorboardTimeSeriesMetadataResponse: Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
name str: Name of the TensorboardTimeSeries.
plugin_data str: Data of the current plugin, with the size limited to 65KB.
plugin_name str: Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
update_time str: Timestamp when this TensorboardTimeSeries was last updated.
value_type str: Immutable. Type of TensorboardTimeSeries value.

createTime String: Timestamp when this TensorboardTimeSeries was created.
description String: Description of this TensorboardTimeSeries.
displayName String: User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
etag String: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
metadata Property Map: Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
name String: Name of the TensorboardTimeSeries.
pluginData String: Data of the current plugin, with the size limited to 65KB.
pluginName String: Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
updateTime String: Timestamp when this TensorboardTimeSeries was last updated.
valueType String: Immutable. Type of TensorboardTimeSeries value.

Supporting Types

GoogleCloudAiplatformV1TensorboardTimeSeriesMetadataResponse

MaxBlobSequenceLength string: The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
MaxStep string: Max step index of all data points within a TensorboardTimeSeries.
MaxWallTime string: Max wall clock timestamp of all data points within a TensorboardTimeSeries.

MaxBlobSequenceLength string: The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
MaxStep string: Max step index of all data points within a TensorboardTimeSeries.
MaxWallTime string: Max wall clock timestamp of all data points within a TensorboardTimeSeries.

maxBlobSequenceLength String: The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
maxStep String: Max step index of all data points within a TensorboardTimeSeries.
maxWallTime String: Max wall clock timestamp of all data points within a TensorboardTimeSeries.

maxBlobSequenceLength string: The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
maxStep string: Max step index of all data points within a TensorboardTimeSeries.
maxWallTime string: Max wall clock timestamp of all data points within a TensorboardTimeSeries.

max_blob_sequence_length str: The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
max_step str: Max step index of all data points within a TensorboardTimeSeries.
max_wall_time str: Max wall clock timestamp of all data points within a TensorboardTimeSeries.

maxBlobSequenceLength String: The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
maxStep String: Max step index of all data points within a TensorboardTimeSeries.
maxWallTime String: Max wall clock timestamp of all data points within a TensorboardTimeSeries.