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author | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2013-02-18 18:31:23 +0100 |
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committer | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2013-02-18 18:31:23 +0100 |
commit | 12f2eab0e7dc7167af47cddf8ef88968656277da (patch) | |
tree | 28953cc5de058908056b319222afc60d1efb6660 /training/crf/baum_welch_example/README.md | |
parent | f051e98fb35c4ce69e489ef6550840bd6cd617fd (diff) | |
parent | 95c364f2cb002241c4a62bedb1c5ef6f1e9a7f22 (diff) |
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'training/crf/baum_welch_example/README.md')
-rw-r--r-- | training/crf/baum_welch_example/README.md | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/training/crf/baum_welch_example/README.md b/training/crf/baum_welch_example/README.md new file mode 100644 index 00000000..97525da5 --- /dev/null +++ b/training/crf/baum_welch_example/README.md @@ -0,0 +1,32 @@ +Here's how to do Baum-Welch training with `cdec`. + +## Set the tags you want. + +First, set the number of tags you want in tagset.txt (these +can be any symbols, listed one after another, separated +by whitespace), e.g.: + + C1 C2 C3 C4 + +## Extract the parameter feature names + + ../mpi_extract_features -c cdec.ini -t train.txt + +If you have compiled with MPI, you can use `mpirun`: + + mpirun -np 8 ../mpi_extract_features -c cdec.ini -t train.txt + +## Randomly initialize the weights file + + sort -u features.* | ./random_init.pl > weights.init + +## Run training + + ../mpi_baum_welch -c cdec.ini -t train.txt -w weights.init -n 50 + +Again, if you have compiled with MPI, you can use `mpirun`: + + mpirun -np 8 ../mpi_baum_welch -c cdec.ini -t train.txt -w weights.init -n 50 + +The `-n` flag indicates how many iterations to run for. + |