hmatrix-morpheus-0.1.1.2: Low-level machine learning auxiliary functions.

Copyright(c) Alexander Ignatyev 2017
LicenseBSD-3
Stabilityexperimental
PortabilityPOSIX
Safe HaskellNone
LanguageHaskell2010

Numeric.Morpheus.Statistics

Description

 

Synopsis

Documentation

mean :: Vector R -> R Source #

Calculates mean (average).

stddev_m :: R -> Vector R -> R Source #

Calculates sample standard deviation using given mean value.

stddev :: Vector R -> R Source #

Calculates sample standard deviation.

columnMean :: Matrix R -> Vector R Source #

Calculates mean (average) for every column.

rowMean :: Matrix R -> Vector R Source #

Calculates mean (average) for every row.

columnStddev_m :: Vector R -> Matrix R -> Vector R Source #

Calculates sample standard deviation using given mean value for every column.

rowStddev_m :: Vector R -> Matrix R -> Vector R Source #

Calculates sample standard deviation using given mean value for every row.