* LOF algorithm
add tests and example
fix DepreciationWarning by reshape(1,-1) one-sample data
LOF with inheritance
lof and lof2 return same score
fix bugs
fix bugs
optimized and cosmit
rm lof2
cosmit
rm MixinLOF + fit_predict
fix travis - optimize pairwise_distance like in KNeighborsMixin.kneighbors
add comparison example + doc
LOF -> LocalOutlierFactor
cosmit
change LOF API:
-fit(X).predict() and fit(X).decision_function() do prediction on X without
considering samples as their own neighbors (ie without considering X as a
new dataset as does fit(X).predict(X))
-rm fit_predict() method
-add a contamination parameter st predict returns a binary value like other
anomaly detection algos
cosmit
doc + debug example
correction doc
pass on doc + examples
pep8 + fix warnings
first attempt at fixing API issues
minor changes
takes into account tguillemot advice
-remove pairwise_distance calculation as to heavy in memory
-add benchmarks
cosmit
minor changes + deals with duplicates
fix depreciation warnings
* factorize the two for loops
* take into account @albertthomas88 review and cosmit
* fix doc
* alex review + rebase
* make predict private add outlier_factor_ attribute and update tests
* make fit_predict take y argument
* fix benchmarks file
* update examples
* make decision_function public (rm X=None default)
* fix travis
* take into account tguillemot review + remove useless k_distance function
* fix broken links :meth:`kneighbors`
* cosmit
* whatsnew
* amueller review + remove _local_outlier_factor method
* add n_neighbors_ parameter the effective nb neighbors we use
* make decision_function private and negative_outlier_factor attribute
788a458bba