scorer: Quickly Score Models in Data Science and Machine Learning
Version 0.2.0

A set of tools for quickly scoring models in data science and machine learning. This toolset is written in C++ for blazing fast performance.

AuthorPaul Hendricks [aut, cre]
Date of publication2016-02-01 22:06:31
MaintainerPaul Hendricks <paul.hendricks.2013@owu.edu>
LicenseMIT + file LICENSE
Version0.2.0
URL https://github.com/paulhendricks/scorer
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("scorer")

Getting started

README.md

Popular man pages

ape: Calculate absolute percent error between actual and forecast.
explained_variance_score: Calculate explained variance regression score function.
mape: Calculate mean absolute percent error between actual and...
median_absolute_error: Calculate median absolute error regression loss.
median_squared_error: Calculate median squared error regression loss.
r2_score: Calculate R^2 (coefficient of determination) regression score...
rmse: Calculate root mean squared error.
See all...

All man pages Function index File listing

Man pages

absolute_error: Calculate absolute error regression loss.
absolute_percent_error: Calculate absolute percent error regression loss.
ae: Calculate absolute error between actual and forecast.
ape: Calculate absolute percent error between actual and forecast.
e: Calculate error between actual and forecast.
explained_variance_score: Calculate explained variance regression score function.
log_error: Calculate log error regression loss.
mape: Calculate mean absolute percent error between actual and...
mean_absolute_error: Calculate mean absolute error regression loss.
mean_absolute_percent_error: Calculate mean absolute percent error regression loss.
mean_absolute_scaled_error: Calculate mean absolute scaled error regression loss.
mean_error: Calculate mean error regression loss.
mean_percent_error: Calculate mean percent error regression loss.
mean_squared_error: Calculate mean squared error regression loss.
mean_squared_log_error: Calculate mean squared log error regression loss.
median_absolute_error: Calculate median absolute error regression loss.
median_absolute_percent_error: Calculate median absolute percent error regression loss.
median_percent_error: Calculate median percent error regression loss.
median_squared_error: Calculate median squared error regression loss.
median_squared_log_error: Calculate median squared log error regression loss.
pe: Calculate percent error between actual and forecast.
percent_error: Calculate percent error regression loss.
r2_score: Calculate R^2 (coefficient of determination) regression score...
rmse: Calculate root mean squared error.
scorer: scorer: Quickly Score Models in Data Science and Machine...
squared_error: Calculate squared error regression loss.
squared_log_error: Calculate squared log_error regression loss.
symmetric_mean_absolute_percent_error: Calculate symmetric mean absolute percent error regression...
symmetric_median_absolute_percent_error: Calculate symmetric median absolute percent error regression...
total_variance_score: Calculate total variance regression score function.
unexplained_variance_score: Calculate unexplained variance regression score function.

Functions

absolute_error Man page Source code
absolute_error_rcpp Source code
absolute_percent_error Man page Source code
absolute_percent_error_rcpp Source code
ae Man page Source code
ape Man page Source code
e Man page Source code
explained_variance_score Man page Source code
log_error Man page Source code
log_error_rcpp Source code
mape Man page Source code
mean_absolute_error Man page Source code
mean_absolute_error_rcpp Source code
mean_absolute_percent_error Man page Source code
mean_absolute_percent_error_rcpp Source code
mean_absolute_scaled_error Man page Source code
mean_error Man page Source code
mean_error_rcpp Source code
mean_percent_error Man page Source code
mean_percent_error_rcpp Source code
mean_squared_error Man page Source code
mean_squared_error_rcpp Source code
mean_squared_log_error Man page Source code
mean_squared_log_error_rcpp Source code
median_absolute_error Man page Source code
median_absolute_error_rcpp Source code
median_absolute_percent_error Man page Source code
median_absolute_percent_error_rcpp Source code
median_percent_error Man page Source code
median_percent_error_rcpp Source code
median_rcpp Source code
median_squared_error Man page Source code
median_squared_error_rcpp Source code
median_squared_log_error Man page Source code
median_squared_log_error_rcpp Source code
pe Man page Source code
percent_error Man page Source code
percent_error_rcpp Source code
r2_score Man page Source code
rmse Man page Source code
scorer Man page
scorer-package Man page
squared_error Man page Source code
squared_error_rcpp Source code
squared_log_error Man page Source code
squared_log_error_rcpp Source code
symmetric_mean_absolute_percent_error Man page Source code
symmetric_median_absolute_percent_error Man page Source code
total_variance_score Man page Source code
unexplained_variance_score Man page Source code

Files

inst
inst/imgs
inst/imgs/README-unnamed-chunk-4-1.png
inst/imgs/README-unnamed-chunk-3-1.png
tests
tests/testthat.R
tests/testthat
tests/testthat/test-regression_metrics.R
tests/testthat/test-errors.R
src
src/regression_metrics.cpp
src/RcppExports.cpp
NAMESPACE
R
R/regression_metrics.R
R/errors.R
R/RcppExports.R
R/scorer.R
README.md
MD5
DESCRIPTION
man
man/e.Rd
man/mean_percent_error.Rd
man/mean_squared_log_error.Rd
man/pe.Rd
man/mape.Rd
man/explained_variance_score.Rd
man/rmse.Rd
man/ape.Rd
man/squared_log_error.Rd
man/squared_error.Rd
man/mean_error.Rd
man/percent_error.Rd
man/total_variance_score.Rd
man/mean_absolute_error.Rd
man/median_absolute_percent_error.Rd
man/unexplained_variance_score.Rd
man/log_error.Rd
man/absolute_error.Rd
man/median_percent_error.Rd
man/median_squared_log_error.Rd
man/mean_absolute_percent_error.Rd
man/mean_absolute_scaled_error.Rd
man/ae.Rd
man/absolute_percent_error.Rd
man/median_absolute_error.Rd
man/symmetric_median_absolute_percent_error.Rd
man/median_squared_error.Rd
man/scorer.Rd
man/r2_score.Rd
man/symmetric_mean_absolute_percent_error.Rd
man/mean_squared_error.Rd
LICENSE
scorer documentation built on May 19, 2017, 2:07 p.m.

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