In tkonopka/mlensemble: Ensembles of Machine Learning Models

Model and ensemble descriptions

The summary method generates plain-language descriptions for ml_model and ml_ensemble objects. A core description for a model consists of one paragraph, for example,

summary(m_lm_x1)

The description can be tuned via the description argument in the constructor (see help(ml_model) for details). As an example,

m_custom <- ml_model(lm_x1, name="custom", description="is a linear regression")
summary(m_custom)

Descriptions are also available for ensembles. Paragraphs describe the overall purpose of the ensemble, the constituent models, calibration status, and any pre-processing and post-processing hooks.

summary(e_with_hooks_calib)

tkonopka/mlensemble documentation built on March 19, 2022, 7:28 a.m.