GetModelRecommendation: Retrieve a model recommendation from DataRobot for your...

In datarobot: 'DataRobot' Predictive Modeling API

Retrieve a model recommendation from DataRobot for your project.

Description

Model recommendations are only generated when you run full Autopilot. One of them (the most accurate individual, non-blender model) will be prepared for deployment. In the preparation process, DataRobot will: (1) calculate feature impact for the selected model and use it to generate a reduced feature list, (2) retrain the selected model on the reduced featurelist, (3) will replace the recommended model with the new model if performance is improved on the reduced featurelist, (4) will retrain the model on a higher sample size, and (5) will replace the recommended model with the higher sample size model if it is more accurate.

Usage

GetModelRecommendation(project, type = RecommendedModelType$FastAccurate)

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.
type	character. The type of recommendation to retrieve. See RecommendedModelType for available options. Defaults to RecommendedModelType$FastAccurate.

Value

A list containing information about the recommended model:

• modelId character. The model ID of the recommended model.

• projectId character. The project ID of the project the recommendations were made for.

• recommendationType character. The type of recommendation being made.

Examples

## Not run: 
  projectId <- "5984b4d7100d2b31c1166529"
  GetModelRecommendation(projectId)

## End(Not run)

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