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

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

## Documentation for package ‘LilRhino’ version 1.2.2

- DESCRIPTION file
- Package README

## Help Pages

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