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
On Sat, Nov 24, 2012 at 2:15 PM, Doug Coleman <[email protected]>wrote:
> Can't get it to malloc error again (yet):
>
> sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok
> sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes
> ... ok
> sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform
> ... SKIP
> Doctest: sklearn.ensemble.gradient_boosting.GradientBoostingClassifier ...
> Floating point exception: 8
> modern:scikit-learn erg$ [master*]
>
>
>
>
> On Sat, Nov 24, 2012 at 2:11 PM, Andreas Mueller <[email protected]
> > wrote:
>
>> On 11/24/2012 08:05 PM, Doug Coleman wrote:
>> > I suppose you're right.
>> >
>> > I ran tests twice and got two crashes. If it gets to the second place
>> > it seems to always crash there.
>> >
>> What? That really shouldn't be!
>> Can your run with -v to see which test is causing this?
>>
>>
>> ------------------------------------------------------------------------------
>> Monitor your physical, virtual and cloud infrastructure from a single
>> web console. Get in-depth insight into apps, servers, databases, vmware,
>> SAP, cloud infrastructure, etc. Download 30-day Free Trial.
>> Pricing starts from $795 for 25 servers or applications!
>> http://p.sf.net/sfu/zoho_dev2dev_nov
>> _______________________________________________
>> Scikit-learn-general mailing list
>> [email protected]
>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>
>
>
------------------------------------------------------------------------------
Monitor your physical, virtual and cloud infrastructure from a single
web console. Get in-depth insight into apps, servers, databases, vmware,
SAP, cloud infrastructure, etc. Download 30-day Free Trial.
Pricing starts from $795 for 25 servers or applications!
http://p.sf.net/sfu/zoho_dev2dev_nov
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
