Class GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob
Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob : IDirectResponseSchema
Properties
AnalysisInstanceSchemaUri
YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If this field is empty, all the feature data types are inferred from predict_instance_schema_uri, meaning that TFDV will use the data in the exact format(data type) as prediction request/response. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
Declaration
[JsonProperty("analysisInstanceSchemaUri")]
public virtual string AnalysisInstanceSchemaUri { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
BigqueryTables
Output only. The created bigquery tables for the job under customer project. Customer could do their own query & analysis. There could be 4 log tables in maximum: 1. Training data logging predict request/response 2. Serving data logging predict request/response
Declaration
[JsonProperty("bigqueryTables")]
public virtual IList<GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringBigQueryTable> BigqueryTables { get; set; }
Property Value
| Type | Description |
|---|---|
| IList<GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringBigQueryTable> |
CreateTime
object representation of CreateTimeRaw.
Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]
public virtual object CreateTime { get; set; }
Property Value
| Type | Description |
|---|---|
| object |
CreateTimeDateTimeOffset
DateTimeOffset representation of CreateTimeRaw.
Declaration
[JsonIgnore]
public virtual DateTimeOffset? CreateTimeDateTimeOffset { get; set; }
Property Value
| Type | Description |
|---|---|
| DateTimeOffset? |
CreateTimeRaw
Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
Declaration
[JsonProperty("createTime")]
public virtual string CreateTimeRaw { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
DisplayName
Required. The user-defined name of the ModelDeploymentMonitoringJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a ModelDeploymentMonitoringJob.
Declaration
[JsonProperty("displayName")]
public virtual string DisplayName { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
EnableMonitoringPipelineLogs
If true, the scheduled monitoring pipeline logs are sent to Google Cloud Logging, including pipeline status and anomalies detected. Please note the logs incur cost, which are subject to Cloud Logging pricing.
Declaration
[JsonProperty("enableMonitoringPipelineLogs")]
public virtual bool? EnableMonitoringPipelineLogs { get; set; }
Property Value
| Type | Description |
|---|---|
| bool? |
EncryptionSpec
Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If set, this ModelDeploymentMonitoringJob and all sub-resources of this ModelDeploymentMonitoringJob will be secured by this key.
Declaration
[JsonProperty("encryptionSpec")]
public virtual GoogleCloudAiplatformV1beta1EncryptionSpec EncryptionSpec { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudAiplatformV1beta1EncryptionSpec |
Endpoint
Required. Endpoint resource name. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
Declaration
[JsonProperty("endpoint")]
public virtual string Endpoint { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
Error
Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
Declaration
[JsonProperty("error")]
public virtual GoogleRpcStatus Error { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleRpcStatus |
Labels
The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob. 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 and examples of labels.
Declaration
[JsonProperty("labels")]
public virtual IDictionary<string, string> Labels { get; set; }
Property Value
| Type | Description |
|---|---|
| IDictionary<string, string> |
LatestMonitoringPipelineMetadata
Output only. Latest triggered monitoring pipeline metadata.
Declaration
[JsonProperty("latestMonitoringPipelineMetadata")]
public virtual GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJobLatestMonitoringPipelineMetadata LatestMonitoringPipelineMetadata { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJobLatestMonitoringPipelineMetadata |
LogTtl
The TTL of BigQuery tables in user projects which stores logs. A day is the basic unit of the TTL and we take the ceil of TTL/86400(a day). e.g. { second: 3600} indicates ttl = 1 day.
Declaration
[JsonProperty("logTtl")]
public virtual object LogTtl { get; set; }
Property Value
| Type | Description |
|---|---|
| object |
LoggingSamplingStrategy
Required. Sample Strategy for logging.
Declaration
[JsonProperty("loggingSamplingStrategy")]
public virtual GoogleCloudAiplatformV1beta1SamplingStrategy LoggingSamplingStrategy { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudAiplatformV1beta1SamplingStrategy |
ModelDeploymentMonitoringObjectiveConfigs
Required. The config for monitoring objectives. This is a per DeployedModel config. Each DeployedModel needs to be configured separately.
Declaration
[JsonProperty("modelDeploymentMonitoringObjectiveConfigs")]
public virtual IList<GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringObjectiveConfig> ModelDeploymentMonitoringObjectiveConfigs { get; set; }
Property Value
| Type | Description |
|---|---|
| IList<GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringObjectiveConfig> |
ModelDeploymentMonitoringScheduleConfig
Required. Schedule config for running the monitoring job.
Declaration
[JsonProperty("modelDeploymentMonitoringScheduleConfig")]
public virtual GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringScheduleConfig ModelDeploymentMonitoringScheduleConfig { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringScheduleConfig |
ModelMonitoringAlertConfig
Alert config for model monitoring.
Declaration
[JsonProperty("modelMonitoringAlertConfig")]
public virtual GoogleCloudAiplatformV1beta1ModelMonitoringAlertConfig ModelMonitoringAlertConfig { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudAiplatformV1beta1ModelMonitoringAlertConfig |
Name
Output only. Resource name of a ModelDeploymentMonitoringJob.
Declaration
[JsonProperty("name")]
public virtual string Name { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
NextScheduleTime
object representation of NextScheduleTimeRaw.
Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use NextScheduleTimeDateTimeOffset instead.")]
public virtual object NextScheduleTime { get; set; }
Property Value
| Type | Description |
|---|---|
| object |
NextScheduleTimeDateTimeOffset
DateTimeOffset representation of NextScheduleTimeRaw.
Declaration
[JsonIgnore]
public virtual DateTimeOffset? NextScheduleTimeDateTimeOffset { get; set; }
Property Value
| Type | Description |
|---|---|
| DateTimeOffset? |
NextScheduleTimeRaw
Output only. Timestamp when this monitoring pipeline will be scheduled to run for the next round.
Declaration
[JsonProperty("nextScheduleTime")]
public virtual string NextScheduleTimeRaw { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
PredictInstanceSchemaUri
YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation). If not set, we will generate predict schema from collected predict requests.
Declaration
[JsonProperty("predictInstanceSchemaUri")]
public virtual string PredictInstanceSchemaUri { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
SamplePredictInstance
Sample Predict instance, same format as PredictRequest.instances, this can be set as a replacement of ModelDeploymentMonitoringJob.predict_instance_schema_uri. If not set, we will generate predict schema from collected predict requests.
Declaration
[JsonProperty("samplePredictInstance")]
public virtual object SamplePredictInstance { get; set; }
Property Value
| Type | Description |
|---|---|
| object |
SatisfiesPzi
Output only. Reserved for future use.
Declaration
[JsonProperty("satisfiesPzi")]
public virtual bool? SatisfiesPzi { get; set; }
Property Value
| Type | Description |
|---|---|
| bool? |
SatisfiesPzs
Output only. Reserved for future use.
Declaration
[JsonProperty("satisfiesPzs")]
public virtual bool? SatisfiesPzs { get; set; }
Property Value
| Type | Description |
|---|---|
| bool? |
ScheduleState
Output only. Schedule state when the monitoring job is in Running state.
Declaration
[JsonProperty("scheduleState")]
public virtual string ScheduleState { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
State
Output only. The detailed state of the monitoring job. When the job is still creating, the state will be 'PENDING'. Once the job is successfully created, the state will be 'RUNNING'. Pause the job, the state will be 'PAUSED'. Resume the job, the state will return to 'RUNNING'.
Declaration
[JsonProperty("state")]
public virtual string State { get; set; }
Property Value
| Type | Description |
|---|---|
| string |
StatsAnomaliesBaseDirectory
Stats anomalies base folder path.
Declaration
[JsonProperty("statsAnomaliesBaseDirectory")]
public virtual GoogleCloudAiplatformV1beta1GcsDestination StatsAnomaliesBaseDirectory { get; set; }
Property Value
| Type | Description |
|---|---|
| GoogleCloudAiplatformV1beta1GcsDestination |
UpdateTime
object representation of UpdateTimeRaw.
Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use UpdateTimeDateTimeOffset instead.")]
public virtual object UpdateTime { get; set; }
Property Value
| Type | Description |
|---|---|
| object |
UpdateTimeDateTimeOffset
DateTimeOffset representation of UpdateTimeRaw.
Declaration
[JsonIgnore]
public virtual DateTimeOffset? UpdateTimeDateTimeOffset { get; set; }
Property Value
| Type | Description |
|---|---|
| DateTimeOffset? |
UpdateTimeRaw
Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
Declaration
[JsonProperty("updateTime")]
public virtual string UpdateTimeRaw { get; set; }
Property Value
| Type | Description |
|---|---|
| string |