fixes bugs in tests and a minor revision of logsumexp
Merge pull request #5 from lindahua/bugfixes

fixes bugs in tests and a minor revision of logsumexp
logsumexp, pventropy, softmax (supports both single-vector and multi-vector-batch)
add random sample without replacement
Merge pull request #6 from lindahua/migrate-mlbase

Several useful functions
Remove mean() as the dim/region argument has made it into base.
Merge pull request #7 from blakejohnson/remove-mean

Remove mean() as the dim/region argument has made it into base.
Change autocor to use same mean and s.d. for both samples making it behave as the similar functions in MATLAB and R.
Add a Travis CI configuration
Merge pull request #9 from JuliaStats/anj/autocor

RFC:Change autocor
RFC: amap was deprecated, using mapslices instead

Looks fine, comparison with R (using Rif):

```
julia> cor_spearman([1.5,1.5,2.2,2,3.5,3.55] , [1,2,3,4,5,6])
0.9276336570439175

julia> R("cor(c(1.5,1.5,2.2,2,3.5,3.55),c(1,2,3,4,5,6),method=\"spearman\")")[1]
0.9276336570439175
```
Merge pull request #10 from diegozea/patch-1

RFC: amap was deprecated, using mapslices instead
Expanding logsumexp, softmax, and pventropy to allow both per-column and per-row computation.
Merge pull request #11 from lindahua/master

Expanding logsumexp, softmax, and pventropy to allow per-column and per-row computation
mad(v): only make one array copy and use it as scratch space.
mad(v): avoid checking for NaNs when taking the median of deviations.
Merge pull request #13 from StefanKarpinski/master

median absolute deviation performance improvement
add sample_by_weights (tested)
Merge pull request #15 from lindahua/master

add sample_by_weights function
Remove logsumexp, pventropy, and softmax -- NumericExtensions provide more generic and efficient versions.