Get rid of warnings when running tests #180
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nirtiac
commented
Jun 21, 2019
| @@ -168,6 +172,7 @@ def test_display_pca(self, dnn_class): | |||
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| def test_display_tsne(self, dnn_class): | |||
| """Test t-SNE displays and saves.""" | |||
| warnings.filterwarnings('ignore', category=PendingDeprecationWarning) | |||
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can we instead look for something to replace this that's not pending deprecation? we may find ourselves in trouble in the future and may as well figure out how to solve it now.
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My comment above is still relevant ^ I believe.
rfratila
reviewed
Jun 22, 2019
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Thanks Divya! :) I’m happy to answer any questions during the process.
On Jun 25, 2019, at 12:58 PM, divyachandran-ds <notifications@github.com<mailto:notifications@github.com>> wrote:
@nirtiac<https://github.com/nirtiac> @rfratila<https://github.com/rfratila>
I will work on all the above suggestions and get back to you.
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nirtiac
commented
Aug 8, 2019
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Hi Divya,
Can you explain the benefit of
'''elif interactive is True:
plt.draw()
plt.pause(1e-17)'''
Over what was already there? I'm afraid I've forgotten by then.
Also, if the solution for most of the warnings is to have an updated sklearn/numpy/whatever package, can you update the requirements.txt to include the required package versions?
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It was for the interactive display part, it was already added in some other
plots so added it similarly with similar time duration
I will update the requirements
…On Thu, Aug 8, 2019 at 4:05 PM Caitrin Armstrong ***@***.***> wrote:
***@***.**** commented on this pull request.
Hi Divya,
Can you explain the benefit of
plt.draw()
plt.pause(1e-17)```
Over what was already there? I'm afraid I've forgotten by then.
Also, if the solution for most of the warnings is to have an updated sklearn/numpy/whatever package, can you update the requirements.txt to include the required package versions?
------------------------------
In vulcanai/tests/models/test_metrics.py
<https://github.com/Aifred-Health/Vulcan/pull/180#discussion_r312219152>:
> @@ -294,13 +293,11 @@ def test_get_auc(self, metrics):
def test_run_test(self, metrics, cnn_class):
"""Test that run_test returns values as expected."""
+ warnings.filterwarnings("ignore", category=sklearn.exceptions.UndefinedMetricWarning)
this is just to deal with the sklearn deprecated stuff
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@divyachandran-ds can you update the requirements as discussed above? ^ |
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Hi Caitrin
I have updated the requirements
Regards
Divya.
… On Aug 27, 2019, at 10:20 AM, Caitrin Armstrong ***@***.***> wrote:
@divyachandran-ds <https://github.com/divyachandran-ds> can you update the requirements as discussed above? ^
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nirtiac
commented
Sep 4, 2019
| *cnn_class_binary.in_dim))) | ||
| test_target = torch.LongTensor(np.random.randint(0, 2, | ||
| size=num_items)) | ||
| test_input = torch.Tensor(np.random.randint(0, 2,size=(num_items,*cnn_class_binary.in_dim))) |
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please make sure that every line is within the limit
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