Anonymous ID: dc8c9d June 1, 2018, 7:06 p.m. No.1612290   ๐Ÿ—„๏ธ.is ๐Ÿ”—kun   >>2296 >>2297

THE SHITPOSTER CREED!

 

I AM A SHITPOSTER!

 

IT IS MY DUTY TO CRUSH THE CLOWNS

 

I WILL NOT DIGRESS!

 

I WILL NOT FALTER!

 

I WILL DESTROY THE FEELINGS OF CONCERNFAGS

 

I WILL HOLD THE ORDER OF THE BREAD ABOVE ALL OTHER AND SHALL REFUSE TO BACK DOWN!

 

I AM A SHITPOSTER!

Anonymous ID: dc8c9d June 1, 2018, 7:32 p.m. No.1612578   ๐Ÿ—„๏ธ.is ๐Ÿ”—kun   >>2607

>>1612518

The caret package (short for _C_lassification _A_nd _RE_gression _T_raining) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for:

 

data splitting

pre-processing

feature selection

model tuning using resampling

variable importance estimation

 

as well as other functionality.

 

There are many different modeling functions in R. Some have different syntax for model training and/or prediction. The package started off as a way to provide a uniform interface the functions themselves, as well as a way to standardize common tasks (such parameter tuning and variable importance).

 

The current release version can be found on CRAN and the project is hosted on github.

 

Some resources:

 

The book Applied Predictive Modeling features caret and over 40 other R packages. It is on sale at Amazon or the the publisherโ€™s website. There is a companion website too.

There is also a paper on caret in the Journal of Statistical Software. The example data can be obtained here(the predictors) and here (the outcomes).

There is a webinar for the package on Youtube that was organized and recorded by Ray DiGiacomo Jr for the Orange County R User Group.

At useR! 2014, I was interviewed and discussed the package and the book.

DataCamp has a beginnerโ€™s tutorial on machine learning in R using caret.

Anonymous ID: dc8c9d June 1, 2018, 7:50 p.m. No.1612771   ๐Ÿ—„๏ธ.is ๐Ÿ”—kun

>>1612313

i've been here a long time anon. i tend to stay humble and patient until emo faggots start to show their feelings. it's like how a snake's sight is based off of movement. this is no place for political correctness and never will be. that shit belongs on FB, Twater, and Reddit.