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The `metrics.pairwise` module has a euclidean distance that works with sparse matrices. We should have a version of cosine distance that does as well.
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It seems to be documented in the C API part of the manual, but not in the C++ part. Gave us some headaches..
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Running an application linked with hwloc and configured in debug mode results in the following:
```
Runtime is not available, reporting error locally.
{stack-trace}: 21 frames:
0x7f1bbe2ae2e0 : hpx…
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(Using 0.8c, modified only config.h as below)
I've got a machine set up with only X and Y axes, configured like;
# define HOMING_SEARCH_CYCLE_0 ((1
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Hello,
I use in my code flann_set_distance_type to set the distance type to ChiSquareDistance. Unfortunatly, the algorithm seems not to compute using this distance. It use only the square euclidean …
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I'm not sure it is normal or not. Just I hope to check.
svmfitted=LinearSVC(loss='l2', penalty="l1", C=1000,dual=False, tol=1e-3).fit(X_train, y_train)
pred = svmfitted.predict(X_test)
print 1.0*sum…