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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

google-native.aiplatform/v1beta1.TimeSeries

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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

    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:

    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).
    ExperimentId string
    RunId string
    TensorboardId string
    ValueType Pulumi.GoogleNative.Aiplatform.V1Beta1.TimeSeriesValueType
    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
    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
    Project string
    TensorboardTimeSeriesId string
    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}"
    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).
    ExperimentId string
    RunId string
    TensorboardId string
    ValueType TimeSeriesValueType
    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
    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
    Project string
    TensorboardTimeSeriesId string
    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}"
    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).
    experimentId String
    runId String
    tensorboardId String
    valueType TimeSeriesValueType
    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
    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
    project String
    tensorboardTimeSeriesId String
    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}"
    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).
    experimentId string
    runId string
    tensorboardId string
    valueType TimeSeriesValueType
    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
    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
    project string
    tensorboardTimeSeriesId string
    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 TimeSeriesValueType
    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_series_id str
    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}"
    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).
    experimentId String
    runId String
    tensorboardId String
    valueType "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
    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
    project String
    tensorboardTimeSeriesId String
    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:

    CreateTime string
    Timestamp when this TensorboardTimeSeries was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Metadata Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse
    Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
    Name string
    Name of the TensorboardTimeSeries.
    UpdateTime string
    Timestamp when this TensorboardTimeSeries was last updated.
    CreateTime string
    Timestamp when this TensorboardTimeSeries was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Metadata GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse
    Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
    Name string
    Name of the TensorboardTimeSeries.
    UpdateTime string
    Timestamp when this TensorboardTimeSeries was last updated.
    createTime String
    Timestamp when this TensorboardTimeSeries was created.
    id String
    The provider-assigned unique ID for this managed resource.
    metadata GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse
    Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
    name String
    Name of the TensorboardTimeSeries.
    updateTime String
    Timestamp when this TensorboardTimeSeries was last updated.
    createTime string
    Timestamp when this TensorboardTimeSeries was created.
    id string
    The provider-assigned unique ID for this managed resource.
    metadata GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse
    Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
    name string
    Name of the TensorboardTimeSeries.
    updateTime 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 GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse
    Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
    name str
    Name of the TensorboardTimeSeries.
    update_time str
    Timestamp when this TensorboardTimeSeries was last updated.
    createTime 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.
    updateTime String
    Timestamp when this TensorboardTimeSeries was last updated.

    Supporting Types

    GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponse, GoogleCloudAiplatformV1beta1TensorboardTimeSeriesMetadataResponseArgs

    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.

    TimeSeriesValueType, TimeSeriesValueTypeArgs

    ValueTypeUnspecified
    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.
    BlobSequence
    BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
    TimeSeriesValueTypeValueTypeUnspecified
    VALUE_TYPE_UNSPECIFIEDThe value type is unspecified.
    TimeSeriesValueTypeScalar
    SCALARUsed for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
    TimeSeriesValueTypeTensor
    TENSORUsed for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
    TimeSeriesValueTypeBlobSequence
    BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
    ValueTypeUnspecified
    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.
    BlobSequence
    BLOB_SEQUENCEUsed for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.
    ValueTypeUnspecified
    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.
    BlobSequence
    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-native logo

    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