This function returns a DataRobot S3 object of class dataRobotFrozenModel for the model defined by project and modelId. GetModel also can be used to retrieve some information about frozen model, however then some frozen specific information (parentModelId) will not be returned
GetFrozenModel(project, modelId)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.
Unique alphanumeric identifier for the model of interest.
An S3 object of class `dataRobotModel', 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 or NULL. The percentage of the project dataset used in training the
model. If the project uses datetime partitioning, the samplePct will be NULL.
See trainingRowCount, trainingDuration, and trainingStartDate
and trainingEndDate instead.
trainingRowCount. Integer. The number of rows of the project dataset used in training
the model. In a datetime partitioned project, if specified, defines the number of
rows used to train the model and evaluate backtest scores; if unspecified, either
trainingDuration or trainingStartDate and trainingEndDate was used to
determine that instead.
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.
modelId. Character string giving the unique alphanumeric model identifier.
projectName. Character string: optional description 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.
The S3 object returned by this function is required by the functions DeleteModel, ListModelFeatures, and RequestSampleSizeUpdate.
# NOT RUN {
projectId <- "59a5af20c80891534e3c2bde"
modelId <- "5996f820af07fc605e81ead4"
GetFrozenModel(projectId, modelId)
# }
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