This is a minor bugfix release. Previously, if rsmpredict was given a model requiring a transformation that could yield Inf/NaN values for new data (e.g. sqrt(-1)), it would raise an error and terminate. Now, it simply excludes such responses and displays a warning. rsmcompare is now more forgiving of missing input files but also includes extra checks to make sure the experiment paths and ids specified by the user actually exist. Fixed the bug which seemed to ignore zero scores in confusion matrices. Updated various conda files to use newer versions of the ipython and notebook packages since there seem to have been some updates that broke older recipes and requirements files.