| familiarEnsemble-class | R Documentation |
A familiarEnsemble object contains one or more familiarModel objects.
nameName of the familiarEnsemble object.
model_listList of attached familiarModel objects, or paths to these objects. Familiar attaches familiarModel objects when required.
outcome_typeOutcome type of the data used to create the object.
outcome_infoOutcome information object, which contains additional information concerning the outcome, such as class levels.
data_column_infoData information object containing information regarding identifier column names and outcome column names.
learnerLearning algorithm used to create the models in the ensemble.
fs_methodFeature selection method used to determine variable importance for the models in the ensemble.
feature_infoList of objects containing feature information, e.g., name, class levels, transformation, normalisation and clustering parameters.
required_featuresThe set of features required for complete reproduction, i.e. with imputation.
model_featuresThe combined set of features that is used to train the models in the ensemble,
novelty_featuresThe combined set of features that is used to train all novelty detectors in the ensemble.
run_tableRun table for the data used to train the ensemble. Used internally.
calibration_infoCalibration information, e.g. baseline survival in the development cohort.
model_dir_pathPath to folder containing the familiarModel objects. Can
be updated using the update_model_dir_path method.
auto_detachFlag used to determine whether models should be detached from the model after use, or not. Used internally.
settingsA copy of the evaluation configuration parameters used at model creation. These are used as default parameters when evaluating the ensemble to create a familiarData object.
project_idIdentifier of the project that generated the underlying familiarModel object(s).
familiar_versionVersion of the familiar package.
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