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modelenv
View on CRAN: Click
here
Download and install modelenv package within the R console
Install from CRAN:
install.packages("modelenv")
Install from Github:
library("remotes")
install_github("cran/modelenv")
Install by package version:
library("remotes")
install_version("modelenv", "0.1.1")
Attach the package and use:
library("modelenv")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-17
Latest Update: 2023-03-08
Description:
An developer focused, low dependency package in 'tidymodels' that
provides functions to register how models are to be used. Functions to
register models are complimented with accessor functions to retrieve
registered model information to aid in model fitting and error handling.
How to cite:
Emil Hvitfeldt (2022). modelenv: Provide Tools to Register Models for Use in 'tidymodels'. R package version 0.1.1, https://cran.r-project.org/web/packages/modelenv
Previous versions and publish date:
0.1.0 (2022-10-17 14:00)
Other packages that cited modelenv R package
View modelenv citation profile
Other R packages that modelenv depends,
imports, suggests or enhances
Functions, R codes and Examples using
the modelenv R package
Some associated functions: check_spec_mode_engine_val . get_model_env . is_unsupervised_fit . is_unsupervised_spec . modelenv-package . new_unsupervised_fit . new_unsupervised_spec . set_dependency . set_encoding . set_fit . set_model_arg . set_model_engine . set_model_mode . set_new_model . set_pred . stop_incompatible_mode .
Some associated R codes: check.R . env-get.R . env.R . modelenv-package.R . set_dependency.R . set_encoding.R . set_fit.R . set_model_arg.R . set_model_engine.R . set_model_mode.R . set_new_model.R . set_pred.R . unsupervised_fit.R . unsupervised_spec.R . Full modelenv package functions and examples
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