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The code uses two mechanisms for generating random numbers: srand()/rand(),
which is not thread-safe, and srandom()/random(), which is POSIX-specific.
Here I add a util/random.cc module that centralizes these calls, and unifies
some common usage patterns. If the implementation is not good enough, we can
now change it in a single place.
To keep things simple, this uses the portable srand()/rand() but protects them
with a lock to avoid concurrency problems.
The hard part was to keep the regression tests passing: they rely on fixed
sequences of random numbers, so a small code change could break them very
thoroughly. Util::rand(), for wide types like size_t, calls std::rand() not
once but twice. This behaviour was generalized into utils::wide_rand() and
friends.
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Some places in mert use srandom()/random(), but these are POSIX-specific.
The standard alternative, srand()/rand(), is not thread-safe. This module
wraps srand()/rand() in mutexes (very short-lived, so should not cost much)
so that it relies on just Boost and the C standard library, not on a Unix-like
environment.
This may reduce the width of the random numbers on some platforms: it goes
from "long int" to just "int". If that is a problem, we may have to use
Boost's randomizer utilities, or eventually, the C++ ones.
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The notes were about two objects which were created on the free store
using "new", then cleaned up using "delete". May have been a Java
habit; the solution was as simple as creating them on the stack.
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Add <cstdlib> include for srand()/rand(), and <unistd.h> for open() etc.
Include <unistd.h> on Windows if using MinGW. Disable MeteorScorer on
Windows, since it doesn't have fork() and pipe().
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This is one of those little chores in managing a long-lived C++
project: standard C headers like stdio.h and math.h now have their own
place in the C++ standard as resp. cstdio, cmath, and so on. In this
branch the #include names are updated for the mert/ subdirectory; more
branches to follow.
C++11 adds cstdint, but to support compilation with the previous
standard, that change is left for later.
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(evaluator doesn't accept --scconfig without --sctype)
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this adds support for metrics that rely on alignment / trees
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Reduce creating std::string objects, too. In both ScoreArray
and FeatureArray classes, the private members to track sentence
indices (namely, "m_index") were unnecessarily declared as
std::string, but it's better to directly declare them as 'int'.
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evaluator
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example:
Use --factor "0|2" to use only first and third factor from nbest list and from reference.
If you use interpolated scorer, separate records with comma (e.g. --factor "0|2,1").
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Move g_bootstrap from a global variable to
a member of struct ProgramOption.
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Add a wrapper function to parse the options, too.
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in case.
And introduce anonymous namespace for the class and global variables
as well.
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While the size of mert/evaluator.cpp is still relatively small,
adding the marker to the variables allows us to easily distinguish
them from local variables.
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Should use it in .cpp files.
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given candidate and reference files:
evaluator --sctype PER --reference ref.file --candidate cand.file
usage: evaluator [options] --reference ref1[,ref2[,ref3...]] --candidate cand1[,cand2[,cand3...]]
[--sctype|-s] the scorer type (default BLEU)
[--scconfig|-c] configuration string passed to scorer
This is of the form NAME1:VAL1,NAME2:VAL2 etc
[--reference|-R] comma separated list of reference files
[--candidate|-C] comma separated list of candidate files
[--bootstrap|-b] number of booststraped samples (default 0 - no bootstraping)
[--rseed|-r] the random seed for bootstraping (defaults to system clock)
[--help|-h] print this message and exit
git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@4153 1f5c12ca-751b-0410-a591-d2e778427230
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