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

google-native.aiplatform/v1beta1.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

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.

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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)
public static Output<GetEntityTypeResult> getEntityType(GetEntityTypeArgs args, InvokeOptions options)

fn::invoke:
  function: google-native:aiplatform/v1beta1: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

entity_type_id str
featurestore_id str
location str
project str

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.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse: 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

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse

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.

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse

CategoricalThresholdConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse: The config for ImportFeatures Analysis Based Feature Monitoring.
NumericalThresholdConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse: The config for Snapshot Analysis Based Feature Monitoring.

CategoricalThresholdConfig GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse: The config for ImportFeatures Analysis Based Feature Monitoring.
NumericalThresholdConfig GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse: The config for Snapshot Analysis Based Feature Monitoring.

categoricalThresholdConfig GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse: The config for ImportFeatures Analysis Based Feature Monitoring.
numericalThresholdConfig GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse: The config for Snapshot Analysis Based Feature Monitoring.

categoricalThresholdConfig GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse: The config for ImportFeatures Analysis Based Feature Monitoring.
numericalThresholdConfig GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse: The config for Snapshot Analysis Based Feature Monitoring.

categorical_threshold_config GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse: The config for ImportFeatures Analysis Based Feature Monitoring.
numerical_threshold_config GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse: 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 GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse: 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.

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse

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.
MonitoringInterval string: Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated monitoring_interval field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used.
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.
MonitoringInterval string: Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated monitoring_interval field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used.
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.
monitoringInterval String: Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated monitoring_interval field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used.
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.
monitoringInterval string: Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated monitoring_interval field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used.
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 str: Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated monitoring_interval field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used.
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.
monitoringInterval String: Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated monitoring_interval field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used.
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.

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse

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 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

google-native.aiplatform/v1beta1.getEntityType

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Using getEntityType

getEntityType Result

Supporting Types

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigImportFeaturesAnalysisResponse

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigSnapshotAnalysisResponse

GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfigResponse

Package Details

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