Parallelise ica/pca weights
Simplify foreach
avoid NA in maxAmplitudeFeature
temporarily disable heuristic features
Merge branch 'master' into heuristic_features
Merge pull request #24 from gianba/parallelise-weights

Parallelise weights
For now we just compute max step over the entire clip. no early and late...
Merge pull request #25 from gianba/heuristic_features

Heuristic features
Update README.md

Add debugging parallel execution
Update README.md

Fix code block
Update README.md

Add debugging example
load PCA and ICA transformation matrices if they have already been precomputed
this is completely untested...
added option to append new features to existing data set. If existing data set is provided, features are extracted as usual and overwritten if they already existed, or append if not.
Just comment all the features that should not be calculated in extractFeatures.R
this is again not tested at all yet...
bug fixes
ICA and PCA data added.
if this file is present, ICA and PCA will not be recomputed...
fixing but in trainAndPredictLogistic. different number of features for different subjects are allowed now...
Merge branch 'refactoring' of https://github.com/gianba/SeizureDetection into refactoring

Conflicts:
	src/features/loadDataAndExtractFeatures.R
Extract utilities
Improve documentation
Extract features refactoring
Create initial data frame. Allows to create features in any order