tools.jl

This unit implements tools that are useful for building Riemannian and Euclidean machine learning classifiers.

Content

function	description
`tsMap`	project data on a tangent space to apply Euclidean ML models therein
`tsWeights`	generator of weights for tagent space mapping
`gen2ClassData`	generate 2-class positive definite matrix data for testing Riemannian ML models
`confusionMat`	Confusion matrix given true and predicted labels
`predictAcc`	prediction accuracy given true and predicted labels or a confusion matrix
`predictErr`	prediction error given true and predicted labels or a confusion matrix
`rescale!`	Rescale the rows of a real matrix to be in range [a, b]

tsMap
tsWeights
gen2ClassData
confusionMat
predictAcc
predictErr
rescale!