REST Resource: projects.locations.modelMonitors.modelMonitoringJobs

Resource: ModelMonitoringJob

Represents a model monitoring job that analyze dataset using different monitoring algorithm.

Fields
name string

Output only. Resource name of a ModelMonitoringJob. Format: projects/{projectId}/locations/{locationId}/modelMonitors/{modelMonitorId}/modelMonitoringJobs/{modelMonitoringJobId}

displayName string

The display name of the ModelMonitoringJob. The name can be up to 128 characters long and can consist of any UTF-8.

modelMonitoringSpec object (ModelMonitoringSpec)

Monitoring monitoring job spec. It outlines the specifications for monitoring objectives, notifications, and result exports. If left blank, the default monitoring specifications from the top-level resource 'ModelMonitor' will be applied. If provided, we will use the specification defined here rather than the default one.

createTime string (Timestamp format)

Output only. timestamp when this ModelMonitoringJob was created.

Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z", "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30".

updateTime string (Timestamp format)

Output only. timestamp when this ModelMonitoringJob was updated most recently.

Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z", "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30".

state enum (JobState)

Output only. The state of the monitoring job. * When the job is still creating, the state will be 'JOB_STATE_PENDING'. * Once the job is successfully created, the state will be 'JOB_STATE_RUNNING'. * Once the job is finished, the state will be one of 'JOB_STATE_FAILED', 'JOB_STATE_SUCCEEDED', 'JOB_STATE_PARTIALLY_SUCCEEDED'.

schedule string

Output only. Schedule resource name. It will only appear when this job is triggered by a schedule.

jobExecutionDetail object (ModelMonitoringJobExecutionDetail)

Output only. Execution results for all the monitoring objectives.

scheduleTime string (Timestamp format)

Output only. timestamp when this ModelMonitoringJob was scheduled. It will only appear when this job is triggered by a schedule.

Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z", "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30".

JSON representation 
{
  "name": string,
  "displayName": string,
  "modelMonitoringSpec": {
    object (ModelMonitoringSpec)
  },
  "createTime": string,
  "updateTime": string,
  "state": enum (JobState),
  "schedule": string,
  "jobExecutionDetail": {
    object (ModelMonitoringJobExecutionDetail)
  },
  "scheduleTime": string
}

ModelMonitoringSpec

Monitoring monitoring job spec. It outlines the specifications for monitoring objectives, notifications, and result exports.

Fields
objectiveSpec object (ModelMonitoringObjectiveSpec)

The monitoring objective spec.

notificationSpec object (ModelMonitoringNotificationSpec)

The model monitoring notification spec.

outputSpec object (ModelMonitoringOutputSpec)

The Output destination spec for metrics, error logs, etc.

JSON representation 
{
  "objectiveSpec": {
    object (ModelMonitoringObjectiveSpec)
  },
  "notificationSpec": {
    object (ModelMonitoringNotificationSpec)
  },
  "outputSpec": {
    object (ModelMonitoringOutputSpec)
  }
}

ModelMonitoringObjectiveSpec

Monitoring objectives spec.

Fields
explanationSpec object (ExplanationSpec)

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

baselineDataset object (ModelMonitoringInput)

baseline dataset. It could be the training dataset or production serving dataset from a previous period.

targetDataset object (ModelMonitoringInput)

Target dataset.

objective Union type
The monitoring objective. objective can be only one of the following:
tabularObjective object (TabularObjective)

Tabular monitoring objective.

JSON representation 
{
  "explanationSpec": {
    object (ExplanationSpec)
  },
  "baselineDataset": {
    object (ModelMonitoringInput)
  },
  "targetDataset": {
    object (ModelMonitoringInput)
  },

  // objective
  "tabularObjective": {
    object (TabularObjective)
  }
  // Union type
}

ModelMonitoringJobExecutionDetail

Represent the execution details of the job.

Fields
baselineDatasets[] object (ProcessedDataset)

Processed baseline datasets.

targetDatasets[] object (ProcessedDataset)

Processed target datasets.

objectiveStatus map (key: string, value: object (Status))

status of data processing for each monitoring objective. Key is the objective.

error object (Status)

Additional job error status.

JSON representation 
{
  "baselineDatasets": [
    {
      object (ProcessedDataset)
    }
  ],
  "targetDatasets": [
    {
      object (ProcessedDataset)
    }
  ],
  "objectiveStatus": {
    string: {
      object (Status)
    },
    ...
  },
  "error": {
    object (Status)
  }
}

ProcessedDataset

Processed dataset information.

Fields
location string

Actual data location of the processed dataset.

timeRange object (Interval)

Dataset time range information if any.

JSON representation 
{
  "location": string,
  "timeRange": {
    object (Interval)
  }
}

Methods

create

 Creates a ModelMonitoringJob.

delete

 Deletes a ModelMonitoringJob.

get

 Gets a ModelMonitoringJob.

list

 Lists ModelMonitoringJobs.