Package: LilRhino 1.2.2

LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management

This is for code management functions, NLP tools, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.

Authors:Travis Barton

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LilRhino.pdf |LilRhino.html✨
LilRhino/json (API)

# Install 'LilRhino' in R:

install.packages('LilRhino', repos = c('https://travis-barton.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/travis-barton/lilrhino/issues

On CRAN:

2.78 score 1 stars 12 scripts 302 downloads 17 exports 80 dependencies

Last updated 3 years agofrom:c3125387bf. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 19 2024
R-4.5-win	NOTE	Nov 19 2024
R-4.5-linux	NOTE	Nov 19 2024
R-4.4-win	NOTE	Nov 19 2024
R-4.4-mac	NOTE	Nov 19 2024
R-4.3-win	NOTE	Nov 19 2024
R-4.3-mac	NOTE	Nov 19 2024

Exports:Binary_Network Bootstrap_Data_Frame Bootstrap_Vocab Codes_done Cross_val_maker Feed_Reduction Load_Glove_Embeddings Monty_Hall Nearest_Centroid Num_Al_Sep Percent Pretreatment Random_Brains Sentence_Vector Stopword_Maker Table_percent Vector_Puller

Dependencies:audio backports base64enc beepr BH bit bit64 class cli clipr colorspace config cpp11 crayon data.table Deriv dplyr e1071 fansi farver fastmatch FNN generics ggplot2 glue gtable here hms isoband jsonlite keras labeling lattice lifecycle magrittr MASS Matrix mgcv munsell neuralnet nlme NLP pillar pkgconfig png prettyunits processx progress proxy ps R6 rappdirs RColorBrewer Rcpp RcppTOML readr reticulate rlang rprojroot rstudioapi scales slam SnowballC stringi tensorflow tfautograph tfruns tibble tidyselect tm tzdb utf8 vctrs viridisLite vroom whisker withr xml2 yaml zeallot

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Binary Decision Neural Network Wrapper	Binary_Network
A function for bootstraping textual data so that all levels have the same number of entries.	Bootstrap_Data_Frame
An internal function for Bootstrap_Data_Frame.	Bootstrap_Vocab
For announcing when code is done.	Codes_done
For Creating a test and train set from a whole set	Cross_val_maker
A Function for converting data into approximations of probability space.	Feed_Reduction
Function for loading in pre-trained or personal word embedding softwares.	Load_Glove_Embeddings
Monty Hall Simulator	Monty_Hall
For performing the nearest centroid problem (with modifications) on MNST data specifically (general to come)	Nearest_Centroid
Number/alpha numeric seperator for strings.	Num_Al_Sep
Percent of confusion matrix	Percent
Pretreatment of textual documents for NLP.	Pretreatment
Random Brains: Neural Network Implementation of Random Forest	Random_Brains
Function for extracting the sentence vector from an embeddings matrix.	Sentence_Vector
For the finding of the $N$ most populous words in a corpus.	Stopword_Maker
Table Percent	Table_percent
Function for extacting word vectors from embeddings.	Vector_Puller