RequestApproximation: Request an approximation of a model using DataRobot Prime

In datarobot: 'DataRobot' Predictive Modeling API

Request an approximation of a model using DataRobot Prime

Description

This function will create several rulesets that approximate the specified model. The code used in the approximation can be downloaded to be run locally. Currently only Python and Java downloadable code is available

Usage

RequestApproximation(project, modelId)

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.
modelId	character. Unique alphanumeric identifier for the model of interest.

Details

General workflow of creating and downloading Prime code may look like following: RequestApproximation - create several rulesets that approximate the specified model GetRulesets - list all rulesets created for the parent model RequestPrimeModel - create Prime model for specified ruleset (use one of rulesets return by GetRulesets) GetPrimeModelFromJobId - get PrimeModelId using JobId returned by RequestPrimeModel CreatePrimeCode - create code for one of available Prime models GetPrimeFileFromJobId - get PrimeFileId using JobId returned by CreatePrimeCode DownloadPrimeCode - download specified Prime code file

Value

job Id

Examples

## Not run: 
  projectId <- "59a5af20c80891534e3c2bde"
  modelId <- "5996f820af07fc605e81ead4"
  RequestApproximation(projectId, modelId)

## End(Not run)

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