GetModelFromJobId: Retrieve a new or updated model defined by modelJobId

In datarobot: 'DataRobot' Predictive Modeling API

Retrieve a new or updated model defined by modelJobId

Description

The functions RequestNewModel and RequestSampleSizeUpdate initiate the creation of new models in a DataRobot project. Both functions submit requests to the DataRobot modeling engine and return an integer-valued modelJobId. The GetModelFromJobId function polls the modeling engine until the model has been built or a specified time limit is exceeded, returning an S3 object of class 'dataRobotModel' when the model is available.

Usage

GetModelFromJobId(project, modelJobId, maxWait = 600)

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.
modelJobId	The integer returned by either RequestNewModel or RequestSampleSizeUpdate.
maxWait	integer. The maximum time (in seconds) to wait for the model job to complete.

Details

Motivation for this function is the fact that some models - e.g., very complex machine learning models fit to large datasets - may take a long time to complete. Splitting the model creation request from model retrieval in these cases allows the user to perform other interactive R session tasks between the time the model creation/update request is made and the time the final model is available.

Value

An S3 object of class 'dataRobotModel' summarizing all available information about the model.

Examples

## Not run: 
  projectId <- "59a5af20c80891534e3c2bde"
  initialJobs <- ListModelJobs(project)
  job <- initialJobs[[1]]
  modelJobId <- job$modelJobId
  GetModelJobFromJobId(projectId, modelJobId)

## End(Not run)

datarobot documentation built on May 29, 2024, 4:36 a.m.