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Training predictions are the internal out-of-fold predictions for data that was used to train the model. These predictions are especially useful for creating stacked models or blenders.
GetTrainingPredictionsForModel(model, dataSubset = "all", maxWait = 600)
dataRobotModel. The model to get training predictions for.
character. What data subset would you like to predict on?
Possible options are included in DataSubset
. Possible options are:
DataSubset$All
will use all available data.
DataSubset$ValidationAndHoldout
will use all data except the
training set.
DataSubset$Holdout
will use only holdout data.
integer. The maximum time (in seconds) to wait for the model job to complete.
# NOT RUN {
projectId <- "59a5af20c80891534e3c2bde"
modelId <- "5996f820af07fc605e81ead4"
model <- GetModel(projectId, modelId)
trainingPredictions <- GetTrainingPredictionsFromModel(model)
# }
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