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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.aiplatform/v1.getEntityType

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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
pulumi/pulumi-google-native

    Gets details of a single EntityType.

    Using getEntityType

    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 getEntityType(args: GetEntityTypeArgs, opts?: InvokeOptions): Promise<GetEntityTypeResult>
function getEntityTypeOutput(args: GetEntityTypeOutputArgs, opts?: InvokeOptions): Output<GetEntityTypeResult>
    def get_entity_type(entity_type_id: Optional[str] = None,
                    featurestore_id: Optional[str] = None,
                    location: Optional[str] = None,
                    project: Optional[str] = None,
                    opts: Optional[InvokeOptions] = None) -> GetEntityTypeResult
def get_entity_type_output(entity_type_id: Optional[pulumi.Input[str]] = None,
                    featurestore_id: Optional[pulumi.Input[str]] = None,
                    location: Optional[pulumi.Input[str]] = None,
                    project: Optional[pulumi.Input[str]] = None,
                    opts: Optional[InvokeOptions] = None) -> Output[GetEntityTypeResult]
    func LookupEntityType(ctx *Context, args *LookupEntityTypeArgs, opts ...InvokeOption) (*LookupEntityTypeResult, error)
func LookupEntityTypeOutput(ctx *Context, args *LookupEntityTypeOutputArgs, opts ...InvokeOption) LookupEntityTypeResultOutput

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

    public static class GetEntityType 
{
    public static Task<GetEntityTypeResult> InvokeAsync(GetEntityTypeArgs args, InvokeOptions? opts = null)
    public static Output<GetEntityTypeResult> Invoke(GetEntityTypeInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetEntityTypeResult> getEntityType(GetEntityTypeArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

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

    The following arguments are supported:

    EntityTypeId string
    FeaturestoreId string
    Location string
    Project string
    EntityTypeId string
    FeaturestoreId string
    Location string
    Project string
    entityTypeId String
    featurestoreId String
    location String
    project String
    entityTypeId string
    featurestoreId string
    location string
    project string
    entityTypeId String
    featurestoreId String
    location String
    project String

    getEntityType Result

    The following output properties are available:

    CreateTime string
    Timestamp when this EntityType was created.
    Description string
    Optional. Description of the EntityType.
    Etag string
    Optional. Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    Labels Dictionary<string, string>
    Optional. The labels with user-defined metadata to organize your EntityTypes. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one EntityType (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    MonitoringConfig Pulumi.GoogleNative.Aiplatform.V1.Outputs.GoogleCloudAiplatformV1FeaturestoreMonitoringConfigResponse
    Optional. The default monitoring configuration for all Features with value type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
    Name string
    Immutable. Name of the EntityType. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type} The last part entity_type is assigned by the client. The entity_type can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given a featurestore.
    OfflineStorageTtlDays int
    Optional. Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offline_storage_ttl_days since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
    UpdateTime string
    Timestamp when this EntityType was most recently updated.
    CreateTime string
    Timestamp when this EntityType was created.
    Description string
    Optional. Description of the EntityType.
    Etag string
    Optional. Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    Labels map[string]string
    Optional. The labels with user-defined metadata to organize your EntityTypes. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one EntityType (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    MonitoringConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigResponse
    Optional. The default monitoring configuration for all Features with value type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
    Name string
    Immutable. Name of the EntityType. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type} The last part entity_type is assigned by the client. The entity_type can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given a featurestore.
    OfflineStorageTtlDays int
    Optional. Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offline_storage_ttl_days since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
    UpdateTime string
    Timestamp when this EntityType was most recently updated.
    createTime String
    Timestamp when this EntityType was created.
    description String
    Optional. Description of the EntityType.
    etag String
    Optional. Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Map<String,String>
    Optional. The labels with user-defined metadata to organize your EntityTypes. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one EntityType (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    monitoringConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigResponse
    Optional. The default monitoring configuration for all Features with value type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
    name String
    Immutable. Name of the EntityType. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type} The last part entity_type is assigned by the client. The entity_type can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given a featurestore.
    offlineStorageTtlDays Integer
    Optional. Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offline_storage_ttl_days since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
    updateTime String
    Timestamp when this EntityType was most recently updated.
    createTime string
    Timestamp when this EntityType was created.
    description string
    Optional. Description of the EntityType.
    etag string
    Optional. Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels {[key: string]: string}
    Optional. The labels with user-defined metadata to organize your EntityTypes. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one EntityType (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    monitoringConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigResponse
    Optional. The default monitoring configuration for all Features with value type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
    name string
    Immutable. Name of the EntityType. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type} The last part entity_type is assigned by the client. The entity_type can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given a featurestore.
    offlineStorageTtlDays number
    Optional. Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offline_storage_ttl_days since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
    updateTime string
    Timestamp when this EntityType was most recently updated.
    create_time str
    Timestamp when this EntityType was created.
    description str
    Optional. Description of the EntityType.
    etag str
    Optional. Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Mapping[str, str]
    Optional. The labels with user-defined metadata to organize your EntityTypes. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one EntityType (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    monitoring_config GoogleCloudAiplatformV1FeaturestoreMonitoringConfigResponse
    Optional. The default monitoring configuration for all Features with value type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
    name str
    Immutable. Name of the EntityType. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type} The last part entity_type is assigned by the client. The entity_type can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given a featurestore.
    offline_storage_ttl_days int
    Optional. Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offline_storage_ttl_days since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
    update_time str
    Timestamp when this EntityType was most recently updated.
    createTime String
    Timestamp when this EntityType was created.
    description String
    Optional. Description of the EntityType.
    etag String
    Optional. Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Map<String>
    Optional. The labels with user-defined metadata to organize your EntityTypes. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one EntityType (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    monitoringConfig Property Map
    Optional. The default monitoring configuration for all Features with value type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 under this EntityType. If this is populated with [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is disabled.
    name String
    Immutable. Name of the EntityType. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type} The last part entity_type is assigned by the client. The entity_type can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given a featurestore.
    offlineStorageTtlDays Number
    Optional. Config for data retention policy in offline storage. TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offline_storage_ttl_days since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
    updateTime String
    Timestamp when this EntityType was most recently updated.

    Supporting Types

    GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse

    AnomalyDetectionBaseline string
    The baseline used to do anomaly detection for the statistics generated by import features analysis.
    State string
    Whether to enable / disable / inherite default hebavior for import features analysis.
    AnomalyDetectionBaseline string
    The baseline used to do anomaly detection for the statistics generated by import features analysis.
    State string
    Whether to enable / disable / inherite default hebavior for import features analysis.
    anomalyDetectionBaseline String
    The baseline used to do anomaly detection for the statistics generated by import features analysis.
    state String
    Whether to enable / disable / inherite default hebavior for import features analysis.
    anomalyDetectionBaseline string
    The baseline used to do anomaly detection for the statistics generated by import features analysis.
    state string
    Whether to enable / disable / inherite default hebavior for import features analysis.
    anomaly_detection_baseline str
    The baseline used to do anomaly detection for the statistics generated by import features analysis.
    state str
    Whether to enable / disable / inherite default hebavior for import features analysis.
    anomalyDetectionBaseline String
    The baseline used to do anomaly detection for the statistics generated by import features analysis.
    state String
    Whether to enable / disable / inherite default hebavior for import features analysis.

    GoogleCloudAiplatformV1FeaturestoreMonitoringConfigResponse

    CategoricalThresholdConfig Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
    ImportFeaturesAnalysis Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse
    The config for ImportFeatures Analysis Based Feature Monitoring.
    NumericalThresholdConfig Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
    SnapshotAnalysis Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysisResponse
    The config for Snapshot Analysis Based Feature Monitoring.
    CategoricalThresholdConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
    ImportFeaturesAnalysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse
    The config for ImportFeatures Analysis Based Feature Monitoring.
    NumericalThresholdConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
    SnapshotAnalysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysisResponse
    The config for Snapshot Analysis Based Feature Monitoring.
    categoricalThresholdConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
    importFeaturesAnalysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse
    The config for ImportFeatures Analysis Based Feature Monitoring.
    numericalThresholdConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
    snapshotAnalysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysisResponse
    The config for Snapshot Analysis Based Feature Monitoring.
    categoricalThresholdConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
    importFeaturesAnalysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse
    The config for ImportFeatures Analysis Based Feature Monitoring.
    numericalThresholdConfig GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
    snapshotAnalysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysisResponse
    The config for Snapshot Analysis Based Feature Monitoring.
    categorical_threshold_config GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
    import_features_analysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse
    The config for ImportFeatures Analysis Based Feature Monitoring.
    numerical_threshold_config GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse
    Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
    snapshot_analysis GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysisResponse
    The config for Snapshot Analysis Based Feature Monitoring.
    categoricalThresholdConfig Property Map
    Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
    importFeaturesAnalysis Property Map
    The config for ImportFeatures Analysis Based Feature Monitoring.
    numericalThresholdConfig Property Map
    Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
    snapshotAnalysis Property Map
    The config for Snapshot Analysis Based Feature Monitoring.

    GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysisResponse

    Disabled bool
    The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring.
    MonitoringIntervalDays int
    Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days.
    StalenessDays int
    Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days.
    Disabled bool
    The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring.
    MonitoringIntervalDays int
    Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days.
    StalenessDays int
    Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days.
    disabled Boolean
    The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring.
    monitoringIntervalDays Integer
    Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days.
    stalenessDays Integer
    Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days.
    disabled boolean
    The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring.
    monitoringIntervalDays number
    Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days.
    stalenessDays number
    Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days.
    disabled bool
    The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring.
    monitoring_interval_days int
    Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days.
    staleness_days int
    Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days.
    disabled Boolean
    The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring.
    monitoringIntervalDays Number
    Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days.
    stalenessDays Number
    Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days.

    GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfigResponse

    Value double
    Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.
    Value float64
    Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.
    value Double
    Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.
    value number
    Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.
    value float
    Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.
    value Number
    Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.

    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
    pulumi/pulumi-google-native