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datarobot (version 2.8.0)

GetBlenderModel: Retrieve the details of a specified blender model

Description

This function returns a DataRobot S3 object of class dataRobotModel for the model defined by project and modelId.

Usage

GetBlenderModel(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 blender model of interest.

Value

An S3 object of class `dataRobotBlenderModel', which is a list with the following components:

  • featurelistId. Character string: unique alphanumeric identifier for the = featurelist on which the model is based.

  • processes. Character vector with components describing preprocessing; may include modelType.

  • featurelistName. Character string giving the name of the featurelist on which the model is based.

  • projectId. Character string giving the unique alphanumeric identifier for the project.

  • samplePct. Numeric: percentage of the dataset used to form the training dataset

  • isFrozen. Logical : is model created with frozen tuning parameters.

  • modelType. Character string describing the model type.

  • metrics. List with one element for each valid metric associated with the model. Each element is a list with elements for each possible evaluation type (holdout, validation, and crossValidation).

  • modelCategory. Character string giving model category (e.g., blend, model).

  • blueprintId. Character string giving the unique DataRobot blueprint identifier on which the model is based.

  • modelIds. Character string giving the unique alphanumeric model identifier of blended models.

  • blenderMethod. Character string describing blender method.

  • modelId. Character string giving the unique alphanumeric blender model identifier.

  • projectName. Character string: name of project defined by projectId.

  • projectTarget. Character string defining the target variable predicted by all models in the project.

  • projectMetric. Character string defining the fitting metric optimized by all project models.

Examples

Run this code
# NOT RUN {
  projectId <- "59a5af20c80891534e3c2bde"
  modelId <- "5996f820af07fc605e81ead4"
  GetBlenderModel(projectId, modelId)
# }

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