Numpy arrays and Unknown label type: 'continuous' about ppscore HOT 5 CLOSED

Hi Clement,

thank you for your suggestions.

1. I think that makes sense and we should be able to add this easily to the API.
2. I think we already saw a similar error which occurs when the value is a float but the task is a regression. this can also be fixed via changing the dtype of the series.
3. That makes totally sense that the diagonal should be 1 and this should also be the case. In which example of yours was the diagonal not 1?

Thank you,
Florian

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Hi Florian,

Thanks for your answer. It's occuring when I use the pps on timeseries extracted from an fMRI.
But it's also occurring with the code in the original post, for example I just ran:

import numpy as np
import pandas as pd
import ppscore as pps

X = pd.DataFrame(np.random.randn(10,10))
pps.matrix(X, task='regression')

and it returned me the following matrix:

>>> pps.matrix(X, task='regression')
          0        1         2  3  4         5       6  7  8  9
0  0.000000  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
1  0.000000  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
2  0.000000  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
3  0.000000  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
4  0.000000  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
5  0.000000  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
6  0.000000  0.00000  0.000000  0  0  0.085524  0.0000  0  0  0
7  0.000000  0.29528  0.000000  0  0  0.000000  0.0422  0  0  0
8  0.255183  0.00000  0.000000  0  0  0.000000  0.0000  0  0  0
9  0.000000  0.00000  0.027208  0  0  0.000000  0.0000  0  0  0

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Thank you for the example. When passing a task to the matrix, this bypasses the logic for the diagonal

I would love to see your example with the timeseries data in case that it is not under an NDA. If you want, we could have a quick video session about it

Florian

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Sorry for the delay,
I have some deadlines soon with the end of my MSc and the beginning of my PhD so I don't have a lot of free time, but I'd be happy to discuss about the potential benefits of the pps in neuroimaging!
If you want to take a look, here is the repo of the script where I added support for pps : https://github.com/clementpoiret/fmri_connectivity_measures

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To summarize this issue:

• (DON'T) support numpy matrices - which we will not provide - fix is to convert it to a Dataframe with pd.DataFrame(matrix)
• there shall be no error for numeric targets - this happened because the series was inferred as a classification task but the model expected a LabelEncoded series. This won't happen in the future because the task will be derived only based on the dtype.

If you want to discuss the pps in neuroimaging, please open a new issue :)

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