Hi,
The uploaded file
AI-DecisionTree-0.05.tar.gz
has entered CPAN as
file: $CPAN/authors/id/K/KW/KWILLIAMS/AI-DecisionTree-0.05.tar.gz
size: 22968 bytes
md5: 6098fea5db6d21507cb85cfdd70abf62
Changes since 0.03:
0.05 Thu Sep 12 01:22:34 AEST 2002
- Fixed a concurrency problem that occurred when making more than one
decision tree. All tree data is now stored as member data, not
class data.
- DecisionTree.pm is now pure-perl again (though Instance.pm still
has an XS component).
- Fixed a one-off bug in the Instance.xs code that could create
garbage data.
- Handles "sparse" data better. Sparse data means that every
attribute doesn't have to be defined for every training/test
instance. This can now be a meaningful property - the absence of a
value is currently equivalent to a special "<undef>" value.
- Don't trigger warnings when undefined attribute values are
encountered (as happens with sparse data).
- Added documentation for the 'prune' parameter to new()
- More consistent with memory allocation in Instance.xs - uses the
perl memory macros/functions from `perldoc perlclib` instead of raw
malloc/realloc/free.
- Catches possible infinite loop situations when growing the tree
(which shouldn't usually happen, but other mistakes can cause it)
- The Instance class now has a numeric-only interface, without string
translation. String translation is done in the main DecisionTree
class. This isn't really a user-visible change.
0.04 Wed Sep 4 19:52:23 AEST 2002
- Now uses regular XS instead of Inline for the C code parts. [patch
by Matt Sergeant]
- Converted the inner loop of the best_attr() method to C code,
because it was spending a lot of time in accessor methods for the C
structures it was using. Don't worry, I'm not going C-crazy. I
won't be making many (any?) more of these kinds of changes, but
these ones were probably necessary.
- Removed a bit of debugging code that I left in for 0.03.
-Ken
