removed sam's test VW code
Can predict using a file now

You don't have to provide an X dataset to write to the file
Rebuilt docs
Updated the predict function to set testonly to TRUE and passes to 1
Removed return_all option
Updated coef.VowpalWabbit to use the invert_hash file
Rebuilt docs
using data.table to read the coefficients
added data.table dep
Updated docs
Fixed for predict function

Making sure we don't fit as we test!
Also, made the "dummy" target 1 rather than 0, so it will work for
classification models.  Finally, if more than 1 column is returned
(e.g. we have a bootstrap model) take the average of all columns into 1
column.
rebuilt package docs
Fixed a bug where sometimes a blank row was inserted into a large file

Not sure why, but write table seems to work better than “scan”
Digesting each column of the X data.frame

This lets us work with larger datasets
Fixed a bug where the VW function was ignoring namespaces and case weights when writing files

Whoops!
Updated vowpal wabbit to work with contextual bandits
Changed model control defaults
Removed the one row dataset

It’s slow to compute and no longer needed to invert the hashes.
rebuilt docs
Commented out test script