set_dependency: Register Dependency for Model

In modelenv: Provide Tools to Register Models for Use in 'tidymodels'

Register Dependency for Model

Description

This function is used to register a mode for a model, engine, and mode combination.

Usage

set_dependency(model, mode, eng, pkg)

get_dependency(model)

Arguments

model	A single character string for the model type (e.g. "k_means", etc).
mode	A single character string for the model mode (e.g. "partition").
eng	A single character string for the model engine.
pkg	An options character string for a package name.

Details

This function should for each package that needs to be added as a dependency. The mode needs to be set explicitly, and dependencies needs to be specified for each model, mode and eng combination.

Value

A tibble

Examples

set_new_model("shallow_learning_model")
set_model_mode("shallow_learning_model", "partition")
set_model_engine("shallow_learning_model", "partition", "stats")

set_dependency("shallow_learning_model", "partition", "stats", "base")
get_dependency("shallow_learning_model")
get_dependency("shallow_learning_model")$pkg

set_dependency("shallow_learning_model", "partition", "stats", "stats")
get_dependency("shallow_learning_model")
get_dependency("shallow_learning_model")$pkg

# Only unique packages are kept
set_dependency("shallow_learning_model", "partition", "stats", "stats")
get_dependency("shallow_learning_model")
get_dependency("shallow_learning_model")$pkg

modelenv documentation built on March 31, 2023, 10:31 p.m.