Added regression option to compute the mean given a binary design matrix (e.g. for trial-triggered averages)
Merge branch 'master' of https://github.com/freeman-lab/thunder
Merge branch 'master' of https://github.com/freeman-lab/thunder
Updated scala analyses for Spark 1.0.0

- Used Vector instead of Array[Double] in any streaming algorithms
calling MLLib functions, and added a conversion after loading data for
these algorithms
- Changed auxiliary model classes for StreamingLinearRegression and
StreamingKMeans to mllib package to expose some of the underlying
classes (which are otherwise private to mllib as of 1.0.0)
- Updated artifacts for sbt build
Remove unused model classes
Changed names for consistency with scala code
Updated python code for Spark 1.0.0

- Updated travis to use 1.0.0
- Replaced a use of .mean() with .sum() because new PySpark StatCounter
doesn't work with numpy arrays (see
https://issues.apache.org/jira/browse/SPARK-2012)
Added py4j to python path
Changed parallelism specification
Merge branch 'master' of https://github.com/freeman-lab/thunder
Updated jetty fix in build file
Renamed parameters for consistency with MLlib
Updated EC2 launch scripts for 1.0.0
Fixed path exporting in Thunder EC2 startup
Removed access keys when adding test (public) data
Cleaner check for env variable
Added TODO about example data
Use RowMatrix in relavant analyses

- Updated RowMatrix class with new functions and cleaner usage
- Updated factorization algorithms to use the RowMatrix class
- Refactored SVD, PCA, and ICA into classes
Fixed error in startup script
Removed stray line