[mlpack-svn] [MLPACK] #163: Decide on "basic type" of observation for MLPACK
MLPACK Trac
trac at coffeetalk-1.cc.gatech.edu
Wed Nov 23 13:35:19 EST 2011
#163: Decide on "basic type" of observation for MLPACK
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Reporter: rcurtin | Owner:
Type: wishlist | Status: new
Priority: blocker | Milestone: MLPACK 1.0
Component: MLPACK | Resolution:
Keywords: mlpack observation type | Blocking: 132
Blocked By: |
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Comment (by nslagle):
That being the case, let the machine learning technique decide whether it
prefers arma::vec or arma::Col<size_t>. Utility calls might require an
additional layer of templating (pass arma::Col<T> instead of arma::vec).
One potential drawback in requiring an observation to be a vector of some
type is that we cannot specify an observation of mixed types as with a
structure. That is, some features might be booleans, some might be
integers, some might be strings, etc. I suppose we might send
arma::Col<struct myMLObservationType> into the technique, provided
Armadillo can handle this.
--
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/163#comment:5>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed by the FASTLAB at Georgia Tech under Dr. Alex Gray.
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