familiarEnsemble-class | R Documentation |
A familiarEnsemble object contains one or more familiarModel objects.
name
Name of the familiarEnsemble object.
model_list
List of attached familiarModel objects, or paths to these objects. Familiar attaches familiarModel objects when required.
outcome_type
Outcome type of the data used to create the object.
outcome_info
Outcome information object, which contains additional information concerning the outcome, such as class levels.
data_column_info
Data information object containing information regarding identifier column names and outcome column names.
learner
Learning algorithm used to create the models in the ensemble.
fs_method
Feature selection method used to determine variable importance for the models in the ensemble.
feature_info
List of objects containing feature information, e.g., name, class levels, transformation, normalisation and clustering parameters.
required_features
The set of features required for complete reproduction, i.e. with imputation.
model_features
The combined set of features that is used to train the models in the ensemble,
novelty_features
The combined set of features that is used to train all novelty detectors in the ensemble.
run_table
Run table for the data used to train the ensemble. Used internally.
calibration_info
Calibration information, e.g. baseline survival in the development cohort.
model_dir_path
Path to folder containing the familiarModel objects. Can
be updated using the update_model_dir_path
method.
auto_detach
Flag used to determine whether models should be detached from the model after use, or not. Used internally.
settings
A 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_id
Identifier of the project that generated the underlying familiarModel object(s).
familiar_version
Version of the familiar package.
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