added example to oversample image data using LLE Smote.

[sakethbachu]

@gykovacs I have added the example where I have demonstrated the usage of LLE-Smote on image data. Please review it and let me know if there are any changes to make :)

[codecov[bot]]

Codecov Report

Merging #36 into master will not change coverage. The diff coverage is n/a.

@@          Coverage Diff           @@
##           master     #36   +/-   ##
======================================
  Coverage    0.00%   0.00%           
======================================
  Files           3       3           
  Lines        7412    7413    +1     
======================================
- Misses       7412    7413    +1     

Impacted Files	Coverage Δ
smote_variants/_smote_variants.py	0.00% <0.00%> (ø)

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[sakethbachu]

@gykovacs I did not quite understand the build error :/

[gykovacs]

Great job! :) I look into the build error, might be some configurational issue.

[gykovacs]

Yes, it is, could you please edit the requirements.txt file to "numpy>=1.16.0,<1.19.0"?

[sakethbachu]

@gykovacs I have not added any requirements.txt file, ;(

[gykovacs]

No, that' not a problem. Seemingly, since the latest upgrade, numpy as upgraded and/or tensorflow changed its requirements to numpy < 1.19.0, so even though the tests passed by the time of the latest upgrade, now, installing the latest numpy does not work with tensorflow. So its not your fault :). Let me fix it in master.

[sakethbachu]

Thank you so much, I wish to contribute more in the future 💯

[gykovacs]

Thank you for the contribution! Great, any further contribution is very welcome! :)