Add method in KNN to obtain nearest neighbors.
Internally, the apply now calls the new method to obtain the nearest
neighbors first and then computes the labels.
libshogun simple kNN example with random data
Use nearest neighbors method in classify for multiple k.
Also, avoid code duplication by introducing choose for multiple k
method, used in classify for multiple k w/ and w/o cover tree.
added sparse matrix under parameter framework
Merge pull request #1227 from lambday/feature/log_determinant

added sparse matrix under parameter framework
Merge pull request #1225 from iglesias/feature/knn_public_neighbors

Feature/knn public neighbors
fix get_name in MKL classes fixing serialization / parameter framework
fix bug which caused different results in integration test
Merge pull request #1228 from votjakovr/develop

potentially fix integration test
Only calculate distances to the correct number of centroids when using prespecified mus.
Merge pull request #1230 from rcurtin/develop

Only calculate distances to the correct number of centroids when using prespecified mus.
don't include .config twice
don't generally ignore cleanup()
update readme to include benchmarks
add phtread based sparse test bench
use get_value(s) to get real valued output in asp/arts again
updated the Jade BSS example to use more realistic data featuring some added noise
added binary classification inferfaces for probit likelihood (for now under regression, needs cleanup anyways)
Merge pull request #1233 from karlnapf/develop

added binary classification inferfaces for probit likelihood (for now un...
Merge pull request #1232 from pickle27/develop

updated the Jade BSS example to use more realistic data