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

Documentation for package ‘LilRhino’ version 1.2.2

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.