ListModelJobs: Retrieve status of Autopilot modeling jobs that are not...

In datarobot: 'DataRobot' Predictive Modeling API

Retrieve status of Autopilot modeling jobs that are not complete

Description

This function requests information on DataRobot Autopilot modeling tasks that are not complete, for one of three reasons: the task is running and has not yet completed; the task is queued and has not yet been started; or, the task has terminated due to an error.

Usage

ListModelJobs(project, status = NULL)

Arguments

project	character. Either (1) a character string giving the unique alphanumeric identifier for the project, or (2) a list containing the element projectId with this identifier.
status	character. The status of the desired jobs: one of JobStatus$Queue, JobStatus$InProgress, orJobStatus$Error. If NULL (default), queued and inprogress jobs are returned.

Details

The jobStatus variable specifies which of the three groups of modeling tasks is of interest. Specifically, if jobStatus has the value 'inprogress', the request returns information about modeling tasks that are running but not yet complete; if jobStatus has the value 'queue', the request returns information about modeling tasks that are scheduled to run but have not yet started; if jobStatus has the value 'error', the request returns information about modeling tasks that have terminated due to an error. By default, jobStatus is NULL, which means jobs with status "inprogress" or "queue" are returned, but not those with status "error".

Value

A list of lists with one element for each modeling task in the group being queried; if there are no tasks in the class being queried, an empty list is returned. If the group is not empty, a list is returned with the following nine elements:

• status. Prediction job status; an element of JobStatus, e.g. JobStatus$Queue.

• processes. List of character vectors describing any preprocessing applied.

• projectId. Character string giving the unique identifier for the project.

• modelId character. The unique identifier for the related model.

• samplePct. Numeric: the percentage of the dataset used for model building.

• modelType. Character string specifying the model type.

• modelCategory. Character string: what kind of model this is - prime for DataRobot Prime models, blend for blender models, and model for other models.

• featurelistId. Character string: id of the featurelist used in fitting the model.

• blueprintId. Character string: id of the DataRobot blueprint on which the model is based.

• modelJobId. Character: id of the job.

• isBlocked logical. If TRUE, the job is blocked (cannot be executed) until its dependencies are resolved.

Examples

## Not run: 
  projectId <- "59a5af20c80891534e3c2bde"
  ListModelJobs(projectId)

## End(Not run)

datarobot documentation built on Nov. 3, 2023, 1:07 a.m.