suppress warning messages when using featurize_single_ts function

[shujamughal]

Hi,

is it possible to suppress the warning messages which are generated by the featurize_single_ts function during getting the features?

Thanks
shuja

[stefanv]

Yes, you can use the language warning filter to switch those off. But, can you show us some of these messages, and do you think they should be suppressed on our end?

[shujamughal]

Hi, the following are the warning messages. and I think, there should be the way to suppress these warnings in the library.

/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide
return (cads[2:] + cads[:-2]) / (cads[1:-1] - cads[:-2])
/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide
return (cads[2:] + cads[:-2]) / (cads[1:-1] - cads[:-2])
/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide
return (cads[2:] + cads[:-2]) / (cads[1:-1] - cads[:-2])
/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide
return (cads[2:] + cads[:-2]) / (cads[1:-1] - cads[:-2])
/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide
return (cads[2:] + cads[:-2]) / (cads[1:-1] - cads[:-2])
/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide
return (cads[2:] + cads[:-2]) / (cads[1:-1] - cads[:-2])
/usr/lib/python3/dist-packages/numpy/core/_methods.py:101: RuntimeWarning: invalid value encountered in subtract
x = asanyarray(arr - arrmean)
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:3569: RuntimeWarning: Invalid value encountered in median
RuntimeWarning)
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:3834: RuntimeWarning: Invalid value encountered in percentile
RuntimeWarning)
/usr/local/lib/python3.5/dist-packages/cesium/features/cadence_features.py:12: RuntimeWarning: divide by zero encountered in true_divide

[stefanv]

@acrellin We should probably not be seeing divide by zero errors. Can you reproduce these?

[talhaanwarch]

@stefanv i am facing the same issue, though i am running the example (http://cesium-ml.org/docs/auto_examples/plot_EEG_Example.html) ,you can simply reproduce it, while running feature section

[BHBoeschen]

i am having troubles with the sample dataset of Andrzejak et al. as well. is there a way around it?

[stefanv]

I cannot reproduce with the current version; can you verify that it is still present?