I'm on master. What does it take to fully compile/build/make/setup.py
everything?
I've seen: make, make cython, python setup.py build_ext -i, python setup.py
install
I feel like the latter two are pretty equivalent, but the ``make cython``
is its own thing. Is there one command to completely rebuild everything?
Anyway, running ``make`` doesn't fix it--both errors still exist. MacOSX
10.8.2 64. I could open bugs for them...
Doug
On Sat, Nov 24, 2012 at 2:18 PM, Andreas Mueller
<[email protected]>wrote:
> On 11/24/2012 08:16 PM, Doug Coleman wrote:
> > Hooray, got the malloc one:
> >
> >
> > modern:scikit-learn erg$ [master*] nosetests -v
> > Affinity Propagation algorithm ... ok
> > Tests the DBSCAN algorithm with a similarity array. ... ok
> > Tests the DBSCAN algorithm with a feature vector array. ... ok
> > Tests the DBSCAN algorithm with a callable metric. ... ok
> > sklearn.cluster.tests.test_dbscan.test_pickle ... ok
> > Check that we obtain the correct solution for structured ward tree. ...
> ok
> > Check that we obtain the correct solution for unstructured ward tree.
> > ... ok
> > Check that the height of ward tree is sorted. ... ok
> > Check that we obtain the correct number of clusters with Ward
> > clustering. ... ok
> > Check that we obtain the correct solution in a simplistic case ... ok
> > Test scikit ward with full connectivity (i.e. unstructured) vs scipy
> > ... ok
> > Check that connectivity in the ward tree is propagated correctly
> > during ... ok
> > Check non regression of a bug if a non item assignable connectivity is
> > ... ok
> > sklearn.cluster.tests.test_k_means.test_square_norms ... ok
> > sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok
> > sklearn.cluster.tests.test_k_means.test_labels_assignement_and_inertia
> > ... ok
> > Check that dense and sparse minibatch update give the same results ... ok
> > sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
> > sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
> > sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs
> > ... Python(33971) malloc: *** error for object 0x10dae4000: pointer
> > being freed already on death-row
> > *** set a breakpoint in malloc_error_break to debug
> > Python(33972) malloc: *** error for object 0x10daa3000: pointer being
> > freed already on death-row
> > *** set a breakpoint in malloc_error_break to debug
> >
> So GRBT and K-Means throw random memory errors?!
> You are on master, right?
> And I guess a ``make`` doesn't cure it?
>
>
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