SetPredictionThreshold: Set a custom prediction threshold for binary classification...
In datarobot: 'DataRobot' Predictive Modeling API

SetPredictionThreshold

R Documentation

Set a custom prediction threshold for binary classification models.

Description

The prediction threshold is used by a binary classification model when deciding between the positive and negative class.

Usage

SetPredictionThreshold(model, threshold)

Arguments

`model`	An S3 object of class dataRobotModel like that returned by the function GetModel, or each element of the list returned by the function ListModels.
`threshold`	numeric. The threshold to use when deciding between the positive and negative class. Should be between 0 and 1 inclusive.

Details

Note: This feature can only can be used when PredictionThresholdReadOnly is FALSE. Models typically cannot have their prediction threshold modified if they have been used to set a deployment or predictions have been made with the dedicated prediction API.

Value

Returns NULL but updates the model in place.

Examples

## Not run: 
  projectId <- "59a5af20c80891534e3c2bde"
  modelId <- "5996f820af07fc605e81ead4"
  model <- GetModel(projectId, modelId)
  SetPredictionThreshold(model, threshold = 0.6)

## End(Not run)

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