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I tried running this small program based on the examples I cloud find:
```
convert_redd('data/low_freq/low_freq', 'data/redd.h5')
redd = DataSet('data/redd.h5')
redd.store.window = TimeFrame(start='…
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**Reported by cuunclzh on 31 May 42712982 23:52 UTC**
Ubuntu 12.04 i686
Blas 1.2.20110419-2ubuntu1
Lapack 3.3.1-1
Atlas 3.8.4-3build1
Boost libboost 1.48.0-3
doxygen 1.7.6.1-2ubuntu1
txt2man 1.5.5-4
…
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```
I think we have a problem in how we are thinking about using non-sequential
classifiers for sequential tagging tasks. For starters, the notion that
you are going to do separate feature extraction…
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```
I think we have a problem in how we are thinking about using non-sequential
classifiers for sequential tagging tasks. For starters, the notion that
you are going to do separate feature extraction…
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The only thing I've thought of is to use the pair hmm as a preclustering step, and just lower/loosen the single-linkage clustering cutoff to make sure we never cluster when we shouldn't, and then pass…
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**Reported by zhxgigi on 12 Oct 42621143 05:23 UTC**
I downloaded mlpack-1.0.1 tarball and build fails at ubuntu-10.04-x64, see the attached log for more infomation, thanks you.
Scanning dependencies…
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**Reported by fleischhauf on 30 Jun 44034781 05:14 UTC**
I did not see an option for that anywhere, i guess its assumed to be uniform ?
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```
I think we have a problem in how we are thinking about using non-sequential
classifiers for sequential tagging tasks. For starters, the notion that
you are going to do separate feature extraction…
-
```
I think we have a problem in how we are thinking about using non-sequential
classifiers for sequential tagging tasks. For starters, the notion that
you are going to do separate feature extraction…
-
```
I think we have a problem in how we are thinking about using non-sequential
classifiers for sequential tagging tasks. For starters, the notion that
you are going to do separate feature extraction…