shogun-benchmarks

	A	B	C	D	E
1	Algorithms	implemented in Shogun?	have Shogun benchmark?	Stats look odd?
2	ALLKNN	Y	Y	Y
3	DecisionStump	Y	N		Decision Tree alg.
4	DTC	Y	N		Decision Tree Classifier
5	ElasticNet	Y	N		Linear regression with combined L1 and L2 priors as regularizer.
6	GMM	Y	Y	Y
7	KMEANS	Y	Y	Y ( failed for big no. of centers)
8	KNC	Y	Y	Y
9	KPCA	Y	Y	Y (some big datasets failed)
10	LARS	Y	N
11	LASSO	Y	Y
12	LDA	Y	N
13	LinearRegression	Y	Y	Y
14	LinearRidgeRegression	Y	Y	Y
15	NBC	Y	Y
16	PCA	Y	Y	Y (artificial dataset failed)
17	PERCEPTRON	Y	Y	Y
18	QDA	Y	Y	Y
19	RANDOMFOREST	Y	N
20	SVM	Y	N
21	SVR	Y	N
22	ADABOOST	N	N
23	ALLKRANN	N	N
24	DET	N	N
25	EMST	N	N		Class to benchmark the mlpack Fast Euclidean Minimum Spanning Tree method.
26	FastMKS	N	N
27	HMMGENERATE	N	N
28	HMMLOGLIK	N	N
29	HMMTRAIN	N	N
30	HMMVITERBI	N	N
31	LocalCoordinateCoding	N	N
32	LSH	N	N
33	NCA	N	N		Neighborhood Components Analysis method
34	NMF	N	N		Non-negative Matrix Factorization method.
35	RANGESEARCH	N	N
36	SparseCoding	N	N
37	ALLKFN	?	N		is it similar to Large Margin Nearest Neighbors?
38	Golub	?	N		This seems to be a dataset not an algorithm.
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