recipeselectors | Additional recipes for supervised feature selection | Build Tool library

by stevenpawley R Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | recipeselectors Summary

recipeselectors is a R library typically used in Utilities, Build Tool applications. recipeselectors has no vulnerabilities and it has low support. However recipeselectors has 16 bugs and it has a Non-SPDX License. You can download it from GitHub.

The goal of recipeselectors is to provide extra supervised feature selection steps to be used with the tidymodels recipes package. The package is under development.

Support

Quality

Security

License

Reuse

Support

recipeselectors has a low active ecosystem.

It has 20 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recipeselectors is current.

Quality

recipeselectors has 16 bugs (0 blocker, 0 critical, 0 major, 16 minor) and 0 code smells.

Security

recipeselectors has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

recipeselectors code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

recipeselectors has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

recipeselectors releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 4222 lines of code, 0 functions and 33 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of recipeselectors

Get all kandi verified functions for this library.

recipeselectors Key Features

No Key Features are available at this moment for recipeselectors.

recipeselectors Examples and Code Snippets

No Code Snippets are available at this moment for recipeselectors.

Community Discussions

Trending Discussions on recipeselectors

How to prep a recipe, including tunable arguments?

QUESTION

How to prep a recipe, including tunable arguments?

Asked 2022-Feb-23 at 09:59

As you can see from my code, I am trying to include feature selection into my tidymodels workflow. I am using some kaggle data, trying to predict customer churn.

In order to apply processing to test and training data, I am baking the recipe after I am using the the prep() function.

However, if I want to apply tuning for the step_select_roc() functions top_p argument, I do not know, how to prep() the recipe afterwards. Applying it as in my reprex, results in an error.

Maybe I have to adapt my workflow and separate some recipe tasks to get the job done. What is the best approach to achieve this?

...

ANSWER

Answered 2022-Feb-23 at 00:58

You can't prep() a recipe that has tuneable arguments. Think of prep() as an analogy for fit() for a model; you can't fit a model if you haven't set the hyperparameters.

Source https://stackoverflow.com/questions/70941388

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install recipeselectors

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: