10000 feature_03_to_testing by MadhuTangudu · Pull Request #13 · bdiptesh/CodeLib · GitHub
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Merged
merged 13 commits into from
Sep 27, 2021
Merged

feature_03_to_testing #13

merged 13 commits into from
Sep 27, 2021

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MadhuTangudu
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Description

kNN module for both classification and regression

Tickets

Type of change

Please select option(s) that are relevant.

  • New feature (non-breaking change which adds functionality)

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

  • Unit/Integration tests in the code
  • Code runs locally without any warnings/errors with test files

Checklist:

  • New and existing unit tests pass locally with my changes
  • I have added tests including corner cases that prove my fix is effective or that my feature works
  • I have run tests before committing
  • My code follows the contribution guidelines of this project
  • I have performed a self & peer review of my code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings/errors
  • Any dependent changes have been merged and published in downstream modules
  • Left side is NOT stable branch. Example: Left side is testing branch
  • Right side is YOUR branch. Example: feature_36

MadhuTangudu and others added 13 commits September 25, 2021 20:55
@MadhuTangudu
v0.4.0
44847b1 
changelog:
- added knn.py and test_knn.py modules
- added iris.csv dataset
@bdiptesh
v0.4.0
e0c4f23 
changelog:
- added parallel processing by default in KNN module
@bdiptesh
v0.4.0
d28f869
@MadhuTangudu
v0.4.0
0f63e43 
changelog:
- _compute_metrics method added
@bdiptesh
v0.4.0
69436d3 
changelog:
- minor changes in variables names
@bdiptesh
v0.4.0
6a5e16a
@MadhuTangudu
v0.4.0
bfd1b13 
changelog:
- cross validation metric changed to accuracy and rmse for classification and regresion in knn.py file
- test for categorical variable added to test_knn.py
@bdiptesh
v0.4.0
d61fc5d 
changelog:
-added ignore warnings decorator in unit tests
@MadhuTangudu
v0..4.0
6e26a94 
changelog:
- code cleaning of knn.py, test_knn.py, model.py and test_model.py
@bdiptesh
v0.4.0
d66749e
@bdiptesh
v0.4.0
d17f82a 
changelog:
- knn classification's default scorer changed to f1_weighted
- removed some redundant codes
@bdiptesh
v0.4.0
d0a5e1e
@MadhuTangudu
v0.4.0
9c67779 
changelog:
- local run test
@MadhuTangudu MadhuTangudu added the merge Merge label Sep 27, 2021
@MadhuTangudu MadhuTangudu added this to the v0.4.0 milestone Sep 27, 2021
@bdiptesh bdiptesh added the stats Statistics label Sep 27, 2021
@bdiptesh bdiptesh merged commit 3380612 into testing Sep 27, 2021
@bdiptesh bdiptesh deleted the feature_03 branch September 27, 2021 09:40
@bdiptesh bdiptesh removed this from the v0.4.0 milestone Jan 15, 2022
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@bdiptesh bdiptesh bdiptesh approved these changes

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@MadhuTangudu MadhuTangudu

@bdiptesh bdiptesh

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kNN: Optimal k
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@MadhuTangudu @bdiptesh
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