deepboost: Deep Boosting Ensemble Modeling
Version 0.1.5

Provides deep boosting models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation. Based on Google's Deep Boosting algorithm, and Google's C++ implementation. Cortes, C., Mohri, M., & Syed, U. (2014) .

AuthorDaniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
Date of publication2016-12-29 11:52:15
MaintainerDaniel Marcous <dmarcous@gmail.com>
LicenseApache License (== 2.0)
Version0.1.5
URL https://github.com/dmarcous/CRAN_deepboost
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("deepboost")

Getting started

README.md

Popular man pages

Deepboost: Main function for deepboost model creation
Deepboost-class: An S4 class to represent a deepboost model.
deepboost.default: Main function for deepboost model creation
deepboost.evaluate: Evaluates and prints statistics for a deepboost model
deepboost.gridSearch: Returns optimised parameter list for deepboost model on given...
deepboost.train: Trains a deepboost model
predict-Deepboost-method: Predict method for Deepboost model
See all...

All man pages Function index File listing

Man pages

adult: Adult humans
australian: Australian
banana: banana
bupa: bupa
coli2000: coli2000
Deepboost: Main function for deepboost model creation
Deepboost-class: An S4 class to represent a deepboost model.
deepboost.default: Main function for deepboost model creation
deepboost.evaluate: Evaluates and prints statistics for a deepboost model
deepboost.formula: Main function for deepboost model creation, using a formula
deepboost.gridSearch: Returns optimised parameter list for deepboost model on given...
deepboost.predict: Predicts instances responses based on a deepboost model
deepboost.print: Evaluates and prints statistics for a deepboost model on the...
deepboost.train: Trains a deepboost model
haberman: haberman
heart: heart
magic: magic
pima: pima
predict-Deepboost-method: Predict method for Deepboost model
show-Deepboost-method: Print method for Deepboost model Evaluates a trained...
sonar: sonar

Functions

Deepboost-class Man page
Evaluate_R Source code
Predict_R Source code
Train_R Source code
adult Man page
australian Man page
banana Man page
bupa Man page
coli2000 Man page
deepboost Man page Source code
deepboost.default Man page Source code
deepboost.evaluate Man page Source code
deepboost.formula Man page Source code
deepboost.gridSearch Man page Source code
deepboost.predict Man page Source code
deepboost.print Man page Source code
deepboost.train Man page Source code
haberman Man page
heart Man page
magic Man page
pima Man page
predict,Deepboost-method Man page
show,Deepboost-method Man page
sonar Man page

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test_basic.R
src
src/deepboost_converters.h
src/Makevars
src/boost.h
src/tree.cc
src/deepboost_C.h
src/deepboost_R.cpp
src/deepboost_converters.cpp
src/tree.h
src/deepboost_C.cc
src/boost.cc
src/types.h
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
demo
demo/experiments.R
demo/00Index
demo/deepboostGrid.R
data
data/pima.rda
data/magic.rda
data/coli2000.rda
data/bupa.rda
data/australian.rda
data/haberman.rda
data/sonar.rda
data/banana.rda
data/adult.rda
data/datalist
data/heart.rda
R
R/deepboost-grid-search.R
R/RcppExports.R
R/deepboost-data.R
R/deepboost.R
README.md
MD5
DESCRIPTION
man
man/haberman.Rd
man/Deepboost.Rd
man/Deepboost-class.Rd
man/deepboost.evaluate.Rd
man/magic.Rd
man/predict-Deepboost-method.Rd
man/deepboost.train.Rd
man/pima.Rd
man/deepboost.print.Rd
man/coli2000.Rd
man/deepboost.default.Rd
man/australian.Rd
man/banana.Rd
man/sonar.Rd
man/deepboost.formula.Rd
man/adult.Rd
man/show-Deepboost-method.Rd
man/deepboost.predict.Rd
man/deepboost.gridSearch.Rd
man/bupa.Rd
man/heart.Rd
deepboost documentation built on May 19, 2017, 10:06 p.m.

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