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google-native.aiplatform/v1beta1.TimeSeries
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Creates a TensorboardTimeSeries. Auto-naming is currently not supported for this resource.
Create TimeSeries Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new TimeSeries(name: string, args: TimeSeriesArgs, opts?: CustomResourceOptions);
@overload
def TimeSeries(resource_name: str,
args: TimeSeriesArgs,
opts: Optional[ResourceOptions] = None)
@overload
def TimeSeries(resource_name: str,
opts: Optional[ResourceOptions] = None,
display_name: Optional[str] = None,
experiment_id: Optional[str] = None,
run_id: Optional[str] = None,
tensorboard_id: Optional[str] = None,
value_type: Optional[TimeSeriesValueType] = None,
description: Optional[str] = None,
etag: Optional[str] = None,
location: Optional[str] = None,
plugin_data: Optional[str] = None,
plugin_name: Optional[str] = None,
project: Optional[str] = None,
tensorboard_time_series_id: Optional[str] = None)
func NewTimeSeries(ctx *Context, name string, args TimeSeriesArgs, opts ...ResourceOption) (*TimeSeries, error)
public TimeSeries(string name, TimeSeriesArgs args, CustomResourceOptions? opts = null)
public TimeSeries(String name, TimeSeriesArgs args)
public TimeSeries(String name, TimeSeriesArgs args, CustomResourceOptions options)
type: google-native:aiplatform/v1beta1:TimeSeries
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args TimeSeriesArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args TimeSeriesArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args TimeSeriesArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args TimeSeriesArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args TimeSeriesArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var google_nativeTimeSeriesResource = new GoogleNative.Aiplatform.V1Beta1.TimeSeries("google-nativeTimeSeriesResource", new()
{
DisplayName = "string",
ExperimentId = "string",
RunId = "string",
TensorboardId = "string",
ValueType = GoogleNative.Aiplatform.V1Beta1.TimeSeriesValueType.ValueTypeUnspecified,
Description = "string",
Etag = "string",
Location = "string",
PluginData = "string",
PluginName = "string",
Project = "string",
TensorboardTimeSeriesId = "string",
});
example, err := aiplatformv1beta1.NewTimeSeries(ctx, "google-nativeTimeSeriesResource", &aiplatformv1beta1.TimeSeriesArgs{
DisplayName: pulumi.String("string"),
ExperimentId: pulumi.String("string"),
RunId: pulumi.String("string"),
TensorboardId: pulumi.String("string"),
ValueType: aiplatformv1beta1.TimeSeriesValueTypeValueTypeUnspecified,
Description: pulumi.String("string"),
Etag: pulumi.String("string"),
Location: pulumi.String("string"),
PluginData: pulumi.String("string"),
PluginName: pulumi.String("string"),
Project: pulumi.String("string"),
TensorboardTimeSeriesId: pulumi.String("string"),
})
var google_nativeTimeSeriesResource = new TimeSeries("google-nativeTimeSeriesResource", TimeSeriesArgs.builder()
.displayName("string")
.experimentId("string")
.runId("string")
.tensorboardId("string")
.valueType("VALUE_TYPE_UNSPECIFIED")
.description("string")
.etag("string")
.location("string")
.pluginData("string")
.pluginName("string")
.project("string")
.tensorboardTimeSeriesId("string")
.build());
google_native_time_series_resource = google_native.aiplatform.v1beta1.TimeSeries("google-nativeTimeSeriesResource",
display_name="string",
experiment_id="string",
run_id="string",
tensorboard_id="string",
value_type=google_native.aiplatform.v1beta1.TimeSeriesValueType.VALUE_TYPE_UNSPECIFIED,
description="string",
etag="string",
location="string",
plugin_data="string",
plugin_name="string",
project="string",
tensorboard_time_series_id="string")
const google_nativeTimeSeriesResource = new google_native.aiplatform.v1beta1.TimeSeries("google-nativeTimeSeriesResource", {
displayName: "string",
experimentId: "string",
runId: "string",
tensorboardId: "string",
valueType: google_native.aiplatform.v1beta1.TimeSeriesValueType.ValueTypeUnspecified,
description: "string",
etag: "string",
location: "string",
pluginData: "string",
pluginName: "string",
project: "string",
tensorboardTimeSeriesId: "string",
});
type: google-native:aiplatform/v1beta1:TimeSeries
properties:
description: string
displayName: string
etag: string
experimentId: string
location: string
pluginData: string
pluginName: string
project: string
runId: string
tensorboardId: string
tensorboardTimeSeriesId: string
valueType: VALUE_TYPE_UNSPECIFIED
TimeSeries Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The TimeSeries resource accepts the following input properties:
- Display
Name string - User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
- Experiment
Id string - Run
Id string - Tensorboard
Id string - Value
Type Pulumi.Google Native. Aiplatform. V1Beta1. Time Series Value Type - Immutable. Type of TensorboardTimeSeries value.
- Description string
- Description of this TensorboardTimeSeries.
- Etag string
- Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- Location string
- Plugin
Data string - Data of the current plugin, with the size limited to 65KB.
- Plugin
Name string - Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
- Project string
- Tensorboard
Time stringSeries Id - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"
- Display
Name string - User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
- Experiment
Id string - Run
Id string - Tensorboard
Id string - Value
Type TimeSeries Value Type - Immutable. Type of TensorboardTimeSeries value.
- Description string
- Description of this TensorboardTimeSeries.
- Etag string
- Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- Location string
- Plugin
Data string - Data of the current plugin, with the size limited to 65KB.
- Plugin
Name string - Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
- Project string
- Tensorboard
Time stringSeries Id - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"
- display
Name String - User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
- experiment
Id String - run
Id String - tensorboard
Id String - value
Type TimeSeries Value Type - Immutable. Type of TensorboardTimeSeries value.
- description String
- Description of this TensorboardTimeSeries.
- etag String
- Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- location String
- plugin
Data String - Data of the current plugin, with the size limited to 65KB.
- plugin
Name String - Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
- project String
- tensorboard
Time StringSeries Id - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"
- display
Name string - User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
- experiment
Id string - run
Id string - tensorboard
Id string - value
Type TimeSeries Value Type - Immutable. Type of TensorboardTimeSeries value.
- description string
- Description of this TensorboardTimeSeries.
- etag string
- Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- location string
- plugin
Data string - Data of the current plugin, with the size limited to 65KB.
- plugin
Name string - Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
- project string
- tensorboard
Time stringSeries Id - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"
- 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).
- experiment_
id str - run_
id str - tensorboard_
id str - value_
type TimeSeries Value Type - Immutable. Type of TensorboardTimeSeries value.
- description str
- Description of this TensorboardTimeSeries.
- etag str
- Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- location str
- 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
- project str
- tensorboard_
time_ strseries_ id - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"
- display
Name String - User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
- experiment
Id String - run
Id String - tensorboard
Id String - value
Type "VALUE_TYPE_UNSPECIFIED" | "SCALAR" | "TENSOR" | "BLOB_SEQUENCE" - Immutable. Type of TensorboardTimeSeries value.
- description String
- Description of this TensorboardTimeSeries.
- etag String
- Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- location String
- plugin
Data String - Data of the current plugin, with the size limited to 65KB.
- plugin
Name String - Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
- project String
- tensorboard
Time StringSeries Id - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"
Outputs
All input properties are implicitly available as output properties. Additionally, the TimeSeries resource produces the following output properties:
- Create
Time string - Timestamp when this TensorboardTimeSeries was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Metadata
Pulumi.
Google Native. Aiplatform. V1Beta1. Outputs. Google Cloud Aiplatform V1beta1Tensorboard Time Series Metadata Response - Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
- Name string
- Name of the TensorboardTimeSeries.
- Update
Time string - Timestamp when this TensorboardTimeSeries was last updated.
- Create
Time string - Timestamp when this TensorboardTimeSeries was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Metadata
Google
Cloud Aiplatform V1beta1Tensorboard Time Series Metadata Response - Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
- Name string
- Name of the TensorboardTimeSeries.
- Update
Time string - Timestamp when this TensorboardTimeSeries was last updated.
- create
Time String - Timestamp when this TensorboardTimeSeries was created.
- id String
- The provider-assigned unique ID for this managed resource.
- metadata
Google
Cloud Aiplatform V1beta1Tensorboard Time Series Metadata Response - Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
- name String
- Name of the TensorboardTimeSeries.
- update
Time String - Timestamp when this TensorboardTimeSeries was last updated.
- create
Time string - Timestamp when this TensorboardTimeSeries was created.
- id string
- The provider-assigned unique ID for this managed resource.
- metadata
Google
Cloud Aiplatform V1beta1Tensorboard Time Series Metadata Response - Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
- name string
- Name of the TensorboardTimeSeries.
- update
Time string - Timestamp when this TensorboardTimeSeries was last updated.
- create_
time str - Timestamp when this TensorboardTimeSeries was created.
- id str
- The provider-assigned unique ID for this managed resource.
- metadata
Google
Cloud Aiplatform V1beta1Tensorboard Time Series Metadata Response - Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
- name str
- Name of the TensorboardTimeSeries.
- update_
time str - Timestamp when this TensorboardTimeSeries was last updated.
- create
Time String - Timestamp when this TensorboardTimeSeries was created.
- id String
- The provider-assigned unique ID for this managed resource.
- metadata Property Map
- Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
- name String
- Name of the TensorboardTimeSeries.
- update
Time String - Timestamp when this TensorboardTimeSeries was last updated.
Supporting Types
GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse, GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponseArgs
- Max
Blob stringSequence Length - The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
- Max
Step string - Max step index of all data points within a TensorboardTimeSeries.
- Max
Wall stringTime - Max wall clock timestamp of all data points within a TensorboardTimeSeries.
- Max
Blob stringSequence Length - The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
- Max
Step string - Max step index of all data points within a TensorboardTimeSeries.
- Max
Wall stringTime - Max wall clock timestamp of all data points within a TensorboardTimeSeries.
- max
Blob StringSequence Length - The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
- max
Step String - Max step index of all data points within a TensorboardTimeSeries.
- max
Wall StringTime - Max wall clock timestamp of all data points within a TensorboardTimeSeries.
- max
Blob stringSequence Length - The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
- max
Step string - Max step index of all data points within a TensorboardTimeSeries.
- max
Wall stringTime - Max wall clock timestamp of all data points within a TensorboardTimeSeries.
- max_
blob_ strsequence_ length - 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_ strtime - Max wall clock timestamp of all data points within a TensorboardTimeSeries.
- max
Blob StringSequence Length - The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.
- max
Step String - Max step index of all data points within a TensorboardTimeSeries.
- max
Wall StringTime - Max wall clock timestamp of all data points within a TensorboardTimeSeries.
TimeSeriesValueType, TimeSeriesValueTypeArgs
- Value
Type Unspecified - VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
- Scalar
- SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
- Tensor
- TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- Blob
Sequence - BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
- Time
Series Value Type Value Type Unspecified - VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
- Time
Series Value Type Scalar - SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
- Time
Series Value Type Tensor - TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- Time
Series Value Type Blob Sequence - BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
- Value
Type Unspecified - VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
- Scalar
- SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
- Tensor
- TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- Blob
Sequence - BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
- Value
Type Unspecified - VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
- Scalar
- SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
- Tensor
- TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- Blob
Sequence - BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
- VALUE_TYPE_UNSPECIFIED
- VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
- SCALAR
- SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
- TENSOR
- TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- BLOB_SEQUENCE
- BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
- "VALUE_TYPE_UNSPECIFIED"
- VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
- "SCALAR"
- SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
- "TENSOR"
- TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
- "BLOB_SEQUENCE"
- BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.