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A priori 'feature vector size' #50
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…or counting the total number of features #50. Changed the default value of ECDF percentile
Hi! I've just added a function that returns the size of the feature vector on development branch. cfg = tsfel.get_features_by_domain(domain='spectral')
tsfel.get_number_features(cfg)
335 If more issues arise, feel free to contact us. |
Thank you! |
Dear @mbarandas All of my work is done in Google Colaboratory, in my personal account. #%pip install tsfel
%pip install https://github.com/fraunhoferportugal/tsfel/archive/v0.1.4-dev.zip#egg=tsfel
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Building wheels for collected packages: tsfel
Building wheel for tsfel (setup.py) ... done
Created wheel for tsfel: filename=tsfel-0.1.4-cp36-none-any.whl size=45431 sha256=05c2d6beb972bf73bcb23328bd0a371f9c068345220f6a6916a3d1f7e340695c
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ERROR: google-colab 1.0.0 has requirement ipython~=5.5.0, but you'll have ipython 7.16.1 which is incompatible.
Installing collected packages: gspread, prompt-toolkit, ipython, tsfel
Found existing installation: gspread 3.0.1
Uninstalling gspread-3.0.1:
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WARNING: Upgrading ipython, ipykernel, tornado, prompt-toolkit or pyzmq can
cause your runtime to repeatedly crash or behave in unexpected ways and is not
recommended. If your runtime won't connect or execute code, you can reset it
with "Factory reset runtime" from the "Runtime" menu.
WARNING: The following packages were previously imported in this runtime:
[IPython,prompt_toolkit]
You must restart the runtime in order to use newly installed versions. So I restarted the runtime after that, I imported the libraries import numpy as np
import matplotlib.pyplot as plt
import rhd #libraries for opening a specific electrophysiology data
import tsfel and run your code cfg = tsfel.get_features_by_domain(domain='spectral')
tsfel.get_number_features(cfg)
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-3-26479f8d98cd> in <module>
1 cfg = tsfel.get_features_by_domain(domain='spectral')
----> 2 tsfel.get_number_features(cfg)
/usr/local/lib/python3.6/dist-packages/tsfel/feature_extraction/features_settings.py in get_number_features(dict_features)
68 number_features = 0
69 for domain in dict_features:
---> 70 for feat in cfg[domain]:
71 if cfg[domain][feat]["use"] == "no":
72 continue
NameError: name 'cfg' is not defined I first thought that it was a variable name, so I decided to get rid of that by feats = tsfel.get_features_by_domain(domain='spectral')
tsfel.get_number_features(feats)
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-2-ce38cc1f0e1e> in <module>
1 feats = tsfel.get_features_by_domain(domain='spectral')
----> 2 tsfel.get_number_features(feats)
/usr/local/lib/python3.6/dist-packages/tsfel/feature_extraction/features_settings.py in get_number_features(dict_features)
68 number_features = 0
69 for domain in dict_features:
---> 70 for feat in cfg[domain]:
71 if cfg[domain][feat]["use"] == "no":
72 continue
NameError: name 'cfg' is not defined given that I still got the same mistake, I decided to test another approach tsfel.get_number_features(tsfel.get_features_by_domain(domain='spectral'))
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-10-b7a01fc5db9a> in <module>()
----> 1 tsfel.get_number_features(tsfel.get_features_by_domain(domain='spectral'))
/usr/local/lib/python3.6/dist-packages/tsfel/feature_extraction/features_settings.py in get_number_features(dict_features)
68 number_features = 0
69 for domain in dict_features:
---> 70 for feat in cfg[domain]:
71 if cfg[domain][feat]["use"] == "no":
72 continue
NameError: name 'cfg' is not defined Do you have any idea on what might be going on? Is it possible that a local variable is thought as global variable or parameter within the get_features_by_domain function? |
Hi @jpalma-espinosa. You can install again this version: |
Sorry for my delay. |
Dear all,
Playing with your tool I wanted to obtain the spectral features for a given signal
26 spectral features, nice!
But, when I calculated those features
335 elements!.
I would love to iterate among several time-series, and obtain a feature matrix. I would like to know a priori the size of the X features, as I may create a specific variable array to store the values.
I know that certain features of the signal are computed in time slots (such as FFT_mean_coeff), but is really time consuming to annotate how many results per feature I should expect.
Thus, is there any option to know a priori how many elements will be in the X series?
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