CompactRegressionEnsemble
Package: classreg.learning.regr
Compact regression ensemble class
Description
Compact version of a regression ensemble (of class RegressionEnsemble
). The compact version does not include the data for
training the regression ensemble. Therefore, you cannot perform some tasks with a
compact regression ensemble, such as cross validation. Use a compact regression ensemble
for making predictions (regressions) of new data.
Construction
constructs a compact decision ensemble from a full decision ensemble.ens
=
compact(fullEns
)
Input Arguments

A regression ensemble created by 
Properties

Categorical predictor
indices, specified as a vector of positive integers. 

A character vector describing how the ensemble combines learner predictions. 

Expanded predictor names, stored as a cell array of character vectors. If the model uses encoding for categorical variables, then


Number of trained learners in the ensemble, a positive scalar. 

A cell array of names for the predictor variables, in the order in which
they appear in 

A character vector with the name of the response variable


Function handle for transforming scores, or character vector representing
a builtin transformation function. Add or change a ens.ResponseTransform = @function 

The trained learners, a cell array of compact regression models. 

A numeric vector of weights the ensemble assigns to its learners. The ensemble computes predicted response by aggregating weighted predictions from its learners. 
Object Functions
gather  Gather properties of Statistics and Machine Learning Toolbox object from GPU 
lime  Local interpretable modelagnostic explanations (LIME) 
loss  Regression error 
partialDependence  Compute partial dependence 
plotPartialDependence  Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots 
predict  Predict responses using ensemble of regression models 
predictorImportance  Estimates of predictor importance for regression ensemble 
removeLearners  Remove members of compact regression ensemble 
shapley  Shapley values 
Copy Semantics
Value. To learn how value classes affect copy operations, see Copying Objects.
Examples
Tips
For a compact ensemble of regression trees, the Trained
property
of ens
stores a cell vector of ens.NumTrained
CompactRegressionTree
model objects. For a textual or graphical display of
tree t
in the cell vector,
enter
view(ens.Trained{t})
Extended Capabilities
Version History
Introduced in R2011a
See Also
fitrensemble
 RegressionEnsemble
 predict
 compact
 templateTree
 view