PredictionDens | R Documentation |
This object stores the predictions returned by a learner of class LearnerDens.
The task_type
is set to "dens"
.
mlr3::Prediction
-> PredictionDens
pdf
(numeric()
)
Access the stored predicted probability density function.
cdf
(numeric()
)
Access the stored predicted cumulative distribution function.
distr
(Distribution)
Access the stored estimated distribution.
new()
Creates a new instance of this R6 class.
PredictionDens$new( task = NULL, row_ids = task$row_ids, pdf = NULL, cdf = NULL, distr = NULL, check = TRUE )
task
(TaskSurv)
Task, used to extract defaults for row_ids
.
row_ids
(integer()
)
Row ids of the predicted observations, i.e. the row ids of the test set.
pdf
(numeric()
)
Numeric vector of estimated probability density function, evaluated at values in test set.
One element for each observation in the test set.
cdf
(numeric()
)
Numeric vector of estimated cumulative distribution function, evaluated at values in test
set. One element for each observation in the test set.
distr
(Distribution)
Distribution from distr6.
The distribution from which pdf
and cdf
are derived.
check
(logical(1)
)
If TRUE
, performs argument checks and predict type conversions.
clone()
The objects of this class are cloneable with this method.
PredictionDens$clone(deep = FALSE)
deep
Whether to make a deep clone.
Other Prediction:
PredictionSurv
library(mlr3) task = mlr_tasks$get("precip") learner = mlr_learners$get("dens.hist") p = learner$train(task)$predict(task) head(as.data.table(p))
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