Linear regression
make it easier to specify presense of, or make use of specified work array
oops
added explicit type annotation
rename file
lasso regression. Computes sparsified least squares solutions.
oops - forgot to compute rSquared
idiomatic style
moving to using the package object for minimization rather than OptParams
Merge pull request #301 from stucchio/lasso

Lasso regression
Add distance functions:

- Euclidean distance
- Squared Euclidean distance
- Chebyshev distance
- Manhattan distance
- Minkowski distance
- Cosine distance
- Tanimoto distance
Convert == into === in tests and Remove assert messages
Merge pull request #306 from yu-iskw/distance-squashed

[#305] Add distance functions:
toMultiMap for collections. I need this all the time
Fix test for cosineDistance
Merge pull request #308 from yu-iskw/fix-test

Fix test for cosineDistance
Merge remote-tracking branch 'scalanlp/master'
some DenseVector require messages expanded for more meaningful debug output
CanZipMapKeyValues. ping @dbtsai
The L1regParam can be configured through anonymous function, and each component can be penalized differently.

This weighted regularization for L1 will be very useful to exclude the intercept from regularization.