[ENH] Adds PLS example datasets #44
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Including functions for loading example datasets and structure for adding new examples
Found the URLs required! Will need to rethink how I want to do this since the FC data are all separate files and the behavioral data requires some wrangling...
Now fully loadable (files uploaded to Dropbox -- will have to host scripts for creation elsewhere).
As well as ability to query that information with `query_dataset()`
Can just use urllib for the little that we need
Have to use np.genfromtxt with CSV files that would otherwise be loaded with pandas (if pandas isn't available).
Wasn't testing a few lines of code that really should have been tested...
It doesn't really make sense to have norm=True since we almost never use it!
Still a long ways to go...
Independently zscores (not scipy.stats.zscore) to retain input data structures (e.g., pandas dataframes). Good for documentation demonstration purposes to show cross-correlation matrices. Minor update to compute.efficient_corr to use np.clip, as well.
Still very much a WIP, but...coming along to a degree?
Some minor maintenance that makes working with the documentation a bit easier (e.g., 'make clean html') and some updates to the user guide!
rmarkello
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Begins to include example datasets for performing PLS and showcasing the different flavors / types. Will be a work-in-progress for a while, as the goal is to have these for the user documentation (#19).