GetFrozenModelFromJobId {datarobot}R Documentation

Retrieve a frozen model defined by modelJobId

Description

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

Usage

GetFrozenModelFromJobId(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

integer. 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.

GetModelFromJobId also can be used to retrieve some information about frozen model, however then some frozen specific information (parentModelId) will not be returned.

Value

An S3 object of class 'dataRobotFrozenModel' 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)

[Package datarobot version 2.18.6 Index]