View source: R/PredictionDatasets.R
RequestPredictions | R Documentation |
Prediction intervals can now be returned for predictions with datetime models.
Use 'includePredictionIntervals = TRUE' in calls to Predict
or RequestPredictions
.
For each model, prediction intervals estimate the range of values DataRobot expects actual values
of the target to fall within. They are similar to a confidence interval of a prediction, but are
based on the residual errors measured during the backtesting for the selected model.
RequestPredictions(
project,
modelId,
datasetId,
includePredictionIntervals = NULL,
predictionIntervalsSize = NULL
)
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 |
numeric. The ID of the model to use to make predictions |
datasetId |
numeric. The ID of the dataset to make predictions against (as uploaded from
|
includePredictionIntervals |
logical. Optional. Should prediction intervals bounds should be part of predictions? Only available for time series projects. See "Details" for more info. |
predictionIntervalsSize |
numeric. Optional. Size of the prediction intervals, in percent. Only available for time series projects. See "Details" for more info. |
predictJobId to be used by GetPredictions function to retrieve the model predictions.
## Not run:
dataset <- UploadPredictionDataset(project, diamonds_small)
model <- ListModels(project)[[1]]
modelId <- model$modelId
predictJobId <- RequestPredictions(project, modelId, dataset$id)
predictions <- GetPredictions(project, predictJobId)
# Or, if prediction intervals are desired (datetime only)
predictJobId <- RequestPredictions(datetimeProject,
DatetimeModelId,
includePredictionIntervals = TRUE,
predictionIntervalsSize = 100)
predictions <- GetPredictions(datetimeProject, predictJobId, type = "raw")
## End(Not run)
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