Task unaware xor vs rxor random forest bootstrap experiment

[kfenggg]

Reference issue

Experiment for task unaware learning.

Type of change

Add jupyter notebook containing experiment and functions file to run the experiment.

What does this implement/fix?

Adds an experiment that explores when xor and rxor are different enough to train a new random forest.

Additional information

[PSSF23]

black formatting needed. Also the file name is quite long. You can make it shorter.

[jdey4]

Please do not print 10,20,30... in the notebook.

[kfenggg]

black formatting needed. Also the file name is quite long. You can make it shorter.

Fixed

[kfenggg]

Please do not print 10,20,30... in the notebook.

Fixed

[PSSF23]

black formatting needed. Also the file name is quite long. You can make it shorter.

Fixed

Nope~

[kfenggg]

black formatting needed. Also the file name is quite long. You can make it shorter.

Fixed

Nope~

Are both files still formatted incorrectly? I ran black on the functions file and jblack on the notebook.

Edit: I just reran both, I think there were some changes made to the notebook so I reuploaded that. Please, let me know if there is still a problem.

[PSSF23]

@kfenggg Check not passed. You can take a look yourself. black works for jupyter notebooks natively. Other packages will not pass.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 90.09%. Comparing base (acec608) to head (58d71e1).
⚠️ Report is 25 commits behind head on staging.

Additional details and impacted files

@@           Coverage Diff            @@
##           staging     #544   +/-   ##
========================================
  Coverage    90.09%   90.09%           
========================================
  Files            7        7           
  Lines          404      404           
========================================
  Hits           364      364           
  Misses          40       40           

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[PSSF23]

LGTM @kfenggg Actually you can make the title shorter and more consistent as other XOR experiments: https://proglearn.neurodata.io/experiments/xor_rxor_exp.html. You should also add subsections to make the tutorial more readable.

@jdey4 your thoughts?

[jdey4]

I think, this PR needs more work to publish it in the main or staging branch. But this is good for doing the grading. We can save the PR in a separate branch.