mltool-0.2.0.1: Machine Learning Toolbox

Copyright	(c) Alexander Ignatyev 2016
License	BSD-3
Stability	experimental
Portability	POSIX
Safe Haskell	None
Language	Haskell2010

MachineLearning.LogisticModel

Description

Synopsis

Documentation

module MachineLearning.Model

data LogisticModel Source #

Constructors

Instances

Model LogisticModel Source #
Methods hypothesis :: LogisticModel -> Matrix -> Vector -> Vector Source # cost :: LogisticModel -> Regularization -> Matrix -> Vector -> Vector -> R Source # gradient :: LogisticModel -> Regularization -> Matrix -> Vector -> Vector -> Vector Source #

sigmoid :: Floating a => a -> a Source #

Calculates sigmoid

sigmoidGradient :: Floating a => a -> a Source #

Calculates derivatives of sigmoid