logistic regression, using liblinear
cleanup
change test to goconvey; modify makefile
move liblinear to ext/
change .gitignore to include c/c++ types
fix linux blas linking -fpic
add make.go; fix windows support
Bernoulli Naive Bayes: first draft

This is the first draft of the bernoulli naive bayes implementation. It
is missing the Fit function tests and the Predict function.
Refactoring for base.Instances

Refactored the algorithm to use base.Instances. Rewrote the Fit method
to pre-calculate priors and conditional probabilities.
Finished Fit test for simple cases

Added the logCondProb tests for a simple test case with two classes.
Added Predict function

Added predict function along with its test. Current interface is the
same of the KNN example. In other words, only the class string is
returned from the PredictOne function.
Fixed incorrect instance shuffling algorithm.
use multiple return values instead of an array in InstancesTrainTestSplit
Removed class prior pre-calculation

Since the number of instances in each class are stored, there is no need
to keep the pre-calculated priors.
liblinear: additional fixes
base: handling spaces between entries
linear_models: More idiomatic
liblinear: Hopefully fixed the go get error
Fixed an installation problem
Trying to fix Travis