Third development release

This update adds new functionality for loading data, alongside changes to the API for loading, and a variety of smaller bug fixes.

API changes

• All data loading is performed through the new Thunder Context, a thin wrapper for a Spark Context. This context is automatically created when starting thunder, and has methods for loading data from different input sources.
• tsc.loadText behaves identically to the load from previous versions.
• Example data sets can now be loaded from tsc.makeExample, tsc.loadExample, and tsc.loadExampleEC2.
• Output of the pack operation now preserves xy definition, but outputs will be transposed relative to previous versions.

New features

• Include design matrix with example data set on EC2
• Faster nmf implementation by changing update equation order (#15)
• Support for loading local MAT files into RDDs through tsc.loadMatLocal
• Preliminary support for loading binary files from HDFS using tsc.loadBinary (depends on features currently only available in Spark's master branch)

Bug fixes

• Used pillow instead of PIL (#11)
• Fixed important typo in documentation page (#18)
• Fixed sorting bug in local correlations