RunInteractiveTuning: Run an interactive model tuning session.

In datarobot: 'DataRobot' Predictive Modeling API

Run an interactive model tuning session.

Description

The advanced tuning feature allows you to manually set model parameters and override the DataRobot default selections. It is generally available for Eureqa models. To use this feature with other model types, contact your CFDS for more information.

Usage

RunInteractiveTuning(model)

Arguments

model

dataRobotModel. A DataRobot model object to get tuning parameters for.

Details

This function runs an interactive session to iterate you through individual arguments for each tunable hyperparameter, presenting you with the defaults and other available information. You can set each parameter one at a time, skipping ones you don't intend to set. At the end, it will return a job ID that can be used to get the tuned model.

Note that sometimes you may see the exact same parameter more than once. These are for different parts of the blueprint that use the same parameter (e.g., one hot encoding for text and then one hot encoding for numeric). They are listed in the order they are found in the blueprint but unfortunately more user-facing information cannot be provided.

Value

A job ID that can be used to get the tuned model.

Examples

## Not run: 
  projectId <- "59a5af20c80891534e3c2bde"
  modelId <- "5996f820af07fc605e81ead4"
  myXGBModel <- GetModel(projectId, modelId)
  tuningJob <- RunInteractiveTuning(myXGBModel)
  tunedModel <- GetModelFromJobId(projectId, tuningJob)

## End(Not run)

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