Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

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Documentation for package ‘superml’ version 0.5.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

bm_25	BM25 Matching
cla_train	cla_train
Counter	Calculate count of values in a list or vector
CountVectorizer	Count Vectorizer
dot	Dot product similarity in vectors
dotmat	Dot product similarity between a vector and matrix
GridSearchCV	Grid Search CV
kFoldMean	kFoldMean Calculator
KMeansTrainer	K-Means Trainer
KNNTrainer	K Nearest Neighbours Trainer
LabelEncoder	Label Encoder
LMTrainer	Linear Models Trainer
NBTrainer	Naive Bayes Trainer
normalise1d	normalise1d
normalise2d	normalise2d
RandomSearchCV	Random Search CV
reg_train	reg_train
RFTrainer	Random Forest Trainer
smoothMean	smoothMean Calculator
sort_index	sort_index
TfIdfVectorizer	TfIDF(Term Frequency Inverse Document Frequency) Vectorizer
XGBTrainer	Extreme Gradient Boosting Trainer