export_hyperparameters-methods: Extract and export model hyperparameters.

In familiar: End-to-End Automated Machine Learning and Model Evaluation

Extract and export model hyperparameters.

Description

Extract and export model hyperparameters from models in a familiarCollection.

Usage

export_hyperparameters(
  object,
  dir_path = NULL,
  aggregate_results = TRUE,
  export_collection = FALSE,
  ...
)

## S4 method for signature 'familiarCollection'
export_hyperparameters(
  object,
  dir_path = NULL,
  aggregate_results = TRUE,
  export_collection = FALSE,
  ...
)

## S4 method for signature 'ANY'
export_hyperparameters(
  object,
  dir_path = NULL,
  aggregate_results = TRUE,
  export_collection = FALSE,
  ...
)

Arguments

object	A familiarCollection object, or other other objects from which a familiarCollection can be extracted. See details for more information.
dir_path	Path to folder where extracted data should be saved. NULL will allow export as a structured list of data.tables.
aggregate_results	Flag that signifies whether results should be aggregated for export.
export_collection	(optional) Exports the collection if TRUE.
...	Arguments passed on to as_familiar_collection familiar_data_names Names of the dataset(s). Only used if the object parameter is one or more familiarData objects. collection_name Name of the collection.

Details

Data, such as model performance and calibration information, is usually collected from a familiarCollection object. However, you can also provide one or more familiarData objects, that will be internally converted to a familiarCollection object. It is also possible to provide a familiarEnsemble or one or more familiarModel objects together with the data from which data is computed prior to export. Paths to the previous files can also be provided.

All parameters aside from object and dir_path are only used if object is not a familiarCollection object, or a path to one.

Many model hyperparameters are optimised using sequential model-based optimisation. The extracted hyperparameters are those that were selected to construct the underlying models (familiarModel objects).

Value

A data.table (if dir_path is not provided), or nothing, as all data is exported to csv files. In case of the latter, hyperparameters are summarised.

familiar documentation built on Sept. 30, 2024, 9:18 a.m.