familiarHyperparameterLearner-class: Hyperparameter learner.
In familiar: End-to-End Automated Machine Learning and Model Evaluation

familiarHyperparameterLearner-class

R Documentation

Hyperparameter learner.

Description

A familiarHyperparameterLearner object is a self-contained model that can be applied to predict optimisation scores for a set of hyperparameters.

Details

Hyperparameter learners are used to infer the optimisation score for sets of hyperparameters. These are then used to either infer utility using acquisition functions or to generate summary scores to identify the optimal model.

Slots

name: Name of the familiarHyperparameterLearner object.
learner: Algorithm used to create the hyperparameter learner.
target_learner: Algorithm for which the hyperparameters are being learned.
target_outcome_type: Outcome type of the learner for which hyperparameters are being modeled. Used to determine the target hyperparameters.
optimisation_metric: One or metrics used to generate the optimisation score.
optimisation_function: Function used to generate the optimisation score.
model: The actual model trained using the specific algorithm, e.g. a isolation forest from the isotree package.
target_hyperparameters: The names of the hyperparameters that are used to train the hyperparameter learner.
project_id: Identifier of the project that generated the familiarHyperparameterLearner object.
familiar_version: Version of the familiar package.
package: Name of package(s) required to executed the hyperparameter learner itself, e.g. laGP.
package_version: Version of the packages mentioned in the package attribute.