rsample | Classes and functions to create and summarize resampling | Data Visualization library

by tidymodels R Version: v1.1.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | rsample Summary

rsample is a R library typically used in Analytics, Data Visualization applications. rsample has no bugs, it has no vulnerabilities and it has low support. However rsample has a Non-SPDX License. You can download it from GitHub.

The rsample package provides functions to create different types of resamples and corresponding classes for their analysis. The goal is to have a modular set of methods that can be used for:. The scope of rsample is to provide the basic building blocks for creating and analyzing resamples of a data set, but this package does not include code for modeling or calculating statistics. The Working with Resample Sets vignette gives a demonstration of how rsample tools can be used when building models. Note that resampled data sets created by rsample are directly accessible in a resampling object but do not contain much overhead in memory. Since the original data is not modified, R does not make an automatic copy.

Support

Quality

Security

License

Reuse

Support

rsample has a low active ecosystem.

It has 307 star(s) with 55 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 210 have been closed. On average issues are closed in 64 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rsample is v1.1.1

Quality

rsample has no bugs reported.

Security

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

License

rsample 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

rsample releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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 rsample

Get all kandi verified functions for this library.

rsample Key Features

No Key Features are available at this moment for rsample.

rsample Examples and Code Snippets

No Code Snippets are available at this moment for rsample.

Community Discussions

Trending Discussions on rsample

Tidymodels / XGBoost error in last_fit with rsplit value

Tidymodels dials: Error: Element `id` should have unique values. Duplicates exist for item(s): 'penalty', 'mixture

Is there a reason the xgboost code snippet from the usemodels package has one_hot set to TRUE?

How can I use the same crossvalidation sets in R caret and rsamples

Tuning a LASSO model and predicting using tidymodels

Does rsample::bootstraps store data rather than just row indices?

Error: Can't subset columns that don't exist when running prediction using {Tidymodels}

R: Tibble Conversions

Unnesting deep lists after applying the rolling_origin function from the rsample package

Extract Rules from Trained C5.0 Model in Tidymodels

QUESTION

Tidymodels / XGBoost error in last_fit with rsplit value

Asked 2021-Jun-15 at 04:08

I am trying to follow this tutorial here - https://juliasilge.com/blog/xgboost-tune-volleyball/

I am using it on the most recent Tidy Tuesday dataset about great lakes fishing - trying to predict agency based on many other values.

ALL of the code below works except the final row where I get the following error:

...

ANSWER

Answered 2021-Jun-15 at 04:08

If we look at the documentation of last_fit() We see that split must be

An rsplit object created from `rsample::initial_split().

You accidentally passed the cross-validation folds object stock_folds into split but you should have passed rsplit object stock_split instead

Source https://stackoverflow.com/questions/67978723

QUESTION

Tidymodels dials: Error: Element `id` should have unique values. Duplicates exist for item(s): 'penalty', 'mixture

Asked 2021-Apr-13 at 10:36

I faced this error Error: Element ``id`` should have unique values. Duplicates exist for item(s): 'penalty', 'mixture" when tuning a model with tidymodels. It took me a while to catch the cause of the error. I'm posting it here in case some one faces the same error.

...

ANSWER

Answered 2021-Apr-13 at 10:36

Actually it is due to a silly mistake from my side in defining the lr_spec. I defined the tune parameters mixture & penalty inside set_engine(), whereas they should have been defined inside linear_reg()

Source https://stackoverflow.com/questions/67073227

QUESTION

Is there a reason the xgboost code snippet from the usemodels package has one_hot set to TRUE?

Asked 2021-Apr-07 at 16:10

Is there a reason the recipe code snippet for xgboost classifier has one_hot = TRUE? This creates "n" dummy variables instead of "n-1". I usually set it to FALSE but just want to make sure I'm not missing something.

Code -

...

ANSWER

Answered 2021-Apr-07 at 16:10

The idea there is that, as a tree-based model, xgboost can handle all the levels (unlike a linear model) and can actually require more splits to fit well if you don't include all the categories. Read more about this here.

You don't see the same for the ranger random forest because it can handle factors natively.

Source https://stackoverflow.com/questions/66937515

QUESTION

How can I use the same crossvalidation sets in R caret and rsamples

Asked 2021-Mar-31 at 07:15

I am trying to learn the tidymodels ecosystem by converting caret::train() code into tidymodels workflows. I am getting differences that I think are a biproduct of the resampling algorithms in caret vs. rsample. A colleague wrote a gist showing the differences in datasets with the same seed: https://gist.github.com/bradleyboehmke/7794b79a07afb443da11d930ff84bed7

You can see small differences here in simple models (that I think I coded to be the same):

...

ANSWER

Answered 2021-Mar-31 at 07:15

Edit. Thanks to Julia Silge comment.

The functions rsample2caret() and caret2rsample()

can be used to convert resampling objects between formats.

The answer below can be useful to convert from arbitrary formats to rsample.

Old Answer

Here is an approach to convert the output of caret::createFolds to rsample

Source https://stackoverflow.com/questions/66825730

QUESTION

Tuning a LASSO model and predicting using tidymodels

Asked 2021-Mar-17 at 10:56

I want to perform penalty selection for the LASSO algorithm and predict outcomes using tidymodels. I will use the Boston housing dataset to illustrate the problem.

...

ANSWER

Answered 2021-Mar-16 at 22:51

You are really close here to having everything working right.

Let's read in the data, split it into training/testing and create resampling folds.

Source https://stackoverflow.com/questions/66639452

QUESTION

Does rsample::bootstraps store data rather than just row indices?

Asked 2021-Feb-20 at 16:30

I'm trying to understand why the rsample::bootstraps function apparently stores the entire data set for each bootstrap sample. I was expecting the function would just store the dataset once, along with the bootstrap indices for each resample. In the following you can see the basic structure, which is repeated for each resample:

...

ANSWER

Answered 2021-Feb-17 at 22:49

The data is not repeated every time for each resample; you can see an example of this in the README for the rsample package. The original data is not modified; R does not make a copy.

There is some RAM overhead for each resample and mtcars is a little bit small to be able to understand this well, so let's look at a bigger dataset, such as the Ames housing dataset (look at the README for a different example):

Source https://stackoverflow.com/questions/66215962

QUESTION

Error: Can't subset columns that don't exist when running prediction using {Tidymodels}

Asked 2021-Jan-25 at 20:47

I'm trying to predict real estate prices in R with Tidymodels. I'm following this tutorial. All goes well until the very and when I try to run prediction on my test data.

Please see the below code example and the error at the very end.

I looked at two similar questions (here and here) but it seems that I have defined variable roles and provided an unprepared recipe to my workflow.

...

ANSWER

Answered 2021-Jan-25 at 20:47

The issue here is that you used step_center() to transform the outcome (price_per_sqm_huf_mil) and at prediction time, there is no outcome available. You can instead specify that you want to center all_predictors() & all_numeric() like this:

Source https://stackoverflow.com/questions/65890264

QUESTION

R: Tibble Conversions

Asked 2020-Dec-28 at 07:34

I am using the R programming language. I am following this tutorial over here: https://blogs.rstudio.com/ai/posts/2018-06-25-sunspots-lstm/

I am trying to prepare my data in the same way as this example over here:

...

ANSWER

Answered 2020-Dec-28 at 07:34

Make your index column such that it can be converted to date object.

Source https://stackoverflow.com/questions/65473333

QUESTION

Unnesting deep lists after applying the rolling_origin function from the rsample package

Asked 2020-Dec-23 at 17:14

I have some data which looks like:

head:

...

ANSWER

Answered 2020-Dec-23 at 17:14

May be we need a 3 nested map

Source https://stackoverflow.com/questions/65426565

QUESTION

Extract Rules from Trained C5.0 Model in Tidymodels

Asked 2020-Dec-10 at 23:59

I could and should have made a simpler reprex, but this is really straight out of my work. After training a C5.0 model in the Tidymodels framwork, how do I "see" the rules that the model generated? I tried to replicate what is illustrated here

https://www.tidyverse.org/blog/2020/05/rules-0-0-1/

but I did not go very far (but I am sure the solution must be a one-liner).

Many thanks!

...

ANSWER

Answered 2020-Dec-10 at 23:59

The current solution that tidymodels offers to get the rules out is not quite ideal, admittedly. I believe currently the best way to get out the rules in the model is to pull out the underlying fit object, which is several layers deep inside of the workflow and then call summary() on it. You want to do: summary(fit_model$fit$fit$fit).

Source https://stackoverflow.com/questions/65236490

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