Commit Graph

166 Commits

Author SHA1 Message Date
Tianyi Zheng
71b372f5e2
Remove doctest in xgboost_regressor.py main function (#10422)
* updating DIRECTORY.md

* updating DIRECTORY.md

* updating DIRECTORY.md

* updating DIRECTORY.md

* Update xgboost_regressor.py

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2023-10-14 15:34:05 +02:00
Christian Clauss
3f094fe49d
Ruff pandas vet (#10281)
* Python linting: Add ruff rules for Pandas-vet and Pytest-style

* updating DIRECTORY.md

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2023-10-11 14:30:02 -04:00
Kamil
0070739233
k_means_clust - change to remove warning (#10244)
* Replacing the generator with numpy vector operations from lu_decomposition.

* Revert "Replacing the generator with numpy vector operations from lu_decomposition."

This reverts commit ad217c6616.

* the change removes the warning:
/home/runner/work/Python/Python/machine_learning/k_means_clust.py:236: FutureWarning: The provided callable <function sum at 0x7f20c02034c0> is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
     .agg(

And

/home/runner/work/Python/Python/machine_learning/k_means_clust.py:236: FutureWarning: The provided callable <function mean at 0x7f3d7db1c5e0> is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead.
     .agg(
2023-10-10 16:18:31 -04:00
Arnav Kohli
59fc0cefef
Added categorical_crossentropy loss function (#10152) 2023-10-10 09:20:49 -04:00
Kausthub Kannan
53d78b9cc0
Added Huber Loss Function (#10141) 2023-10-09 10:33:47 -04:00
Arnav Kohli
81b29066d2
Created folder for losses in Machine_Learning (#9969)
* Created folder for losses in Machine_Learning

* Update binary_cross_entropy.py

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* Update mean_squared_error.py

* Update binary_cross_entropy.py

* Update mean_squared_error.py

* Update binary_cross_entropy.py

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* Update mean_squared_error.py

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* Update mean_squared_error.py

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* Update binary_cross_entropy.py

* Update mean_squared_error.py

* Update binary_cross_entropy.py

* Update mean_squared_error.py

* Update machine_learning/losses/binary_cross_entropy.py

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* Update machine_learning/losses/mean_squared_error.py

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* Update machine_learning/losses/binary_cross_entropy.py

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* Update mean_squared_error.py

* Update machine_learning/losses/mean_squared_error.py

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* Update binary_cross_entropy.py

* Update mean_squared_error.py

* Update binary_cross_entropy.py

* Update mean_squared_error.py

* Update mean_squared_error.py

* Update binary_cross_entropy.py

* renamed: losses -> loss_functions

* updated 2 files

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* Update mean_squared_error.py

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2023-10-08 12:04:43 -04:00
Christian Clauss
0f4e51245f
Upgrade to Python 3.12 (#9576)
* DRAFT: GitHub Actions: Test on Python 3.12

Repeats #8777
* #8777 

Some of our dependencies will not be ready yet.

* Python 3.12: Disable qiskit and tensorflow algorithms

* updating DIRECTORY.md

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2023-10-03 14:47:10 +05:30
Tianyi Zheng
280dfc1a22
Fix DeprecationWarning in local_weighted_learning.py (Attempt 2) (#9170)
* Fix DeprecationWarning in local_weighted_learning.py

Fix DeprecationWarning that occurs during build due to converting an
np.ndarray to a scalar implicitly

* DeprecationWarning fix attempt 2
2023-10-01 17:07:25 +13:00
Tianyi Zheng
5f8d1cb5c9
Fix DeprecationWarning in local_weighted_learning.py (#9165)
Fix DeprecationWarning that occurs during build due to converting an
np.ndarray to a scalar implicitly
2023-10-01 16:31:35 +13:00
Tianyi Zheng
76767d2f09
Consolidate the two existing kNN implementations (#8903)
* Add type hints to k_nearest_neighbours.py

* Refactor k_nearest_neighbours.py into class

* Add documentation to k_nearest_neighbours.py

* Use heap-based priority queue for k_nearest_neighbours.py

* Delete knn_sklearn.py

* updating DIRECTORY.md

* Use optional args in k_nearest_neighbours.py for demo purposes

* Fix wrong function arg in k_nearest_neighbours.py

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2023-09-27 14:01:18 +02:00
thor-harsh
84ec9414e4
Update k_means_clust.py (#8996)
* Update k_means_clust.py

* Apply suggestions from code review

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2023-09-27 02:31:42 -04:00
Amir Lavasani
211247ef82
Add MFCC Feature Extraction Algorithm (#9057)
* Add MFCC feature extraction to machine learning

* Add standalone usage in comments

* Apply suggestions from code review

Co-authored-by: Christian Clauss <cclauss@me.com>

* Delete empty junk file (#9062)

* updating DIRECTORY.md

* updating DIRECTORY.md

* Delete empty junk file

* updating DIRECTORY.md

* Fix ruff errors

* Fix more ruff errors

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* [main] Fix typo due to auto review change

* Add doctests for all functions

* Add MFCC feature extraction to machine learning

* Add standalone usage in comments

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* [main] Fix typo due to auto review change

* Add doctests for all functions

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* Fix some pre-commit issues

* Update review issues
* Remove types from docstring
* Rename dct
* Add mfcc docstring
* Add typing to several functions

* Apply suggestions from code review

* Update mfcc.py

* get_filter_points() -> tuple[np.ndarray, np.ndarray]:

* algorithm

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2023-09-24 23:08:51 +02:00
Rohan Anand
dc50add8a7
Update xgboost_regressor.py (#9078)
* Update xgboost_regressor.py

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2023-09-23 10:51:36 +02:00
pre-commit-ci[bot]
421ace81ed
[pre-commit.ci] pre-commit autoupdate (#9013)
* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.0.285 → v0.0.286](https://github.com/astral-sh/ruff-pre-commit/compare/v0.0.285...v0.0.286)
- [github.com/tox-dev/pyproject-fmt: 0.13.1 → 1.1.0](https://github.com/tox-dev/pyproject-fmt/compare/0.13.1...1.1.0)

* updating DIRECTORY.md

* Fis ruff rules PIE808,PLR1714

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2023-08-29 15:18:10 +02:00
Adithya Awati
ac68dc1128
Fixed Pytest warnings for machine_learning/forecasting (#8958)
* updating DIRECTORY.md

* Fixed pyTest Warnings

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2023-08-14 01:34:16 -07:00
Adithya Awati
c290dd6a43
Update run.py in machine_learning/forecasting (#8957)
* Fixed reading CSV file, added type check for data_safety_checker function

* Formatted run.py

* updating DIRECTORY.md

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2023-08-14 00:16:24 -07:00
Tianyi Zheng
e406801f9e
Reimplement polynomial_regression.py (#8889)
* Reimplement polynomial_regression.py

Rename machine_learning/polymonial_regression.py to
machine_learning/polynomial_regression.py

Reimplement machine_learning/polynomial_regression.py using numpy
because the old original implementation was just a how-to on doing
polynomial regression using sklearn

Add detailed function documentation, doctests, and algorithm
explanation

* updating DIRECTORY.md

* Fix matrix formatting in docstrings

* Try to fix failing doctest

* Debugging failing doctest

* Fix failing doctest attempt 2

* Remove unnecessary return value descriptions in docstrings

* Readd placeholder doctest for main function

* Fix typo in algorithm description

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2023-07-28 20:17:46 +02:00
Christian Clauss
4b79d771cd
Add more ruff rules (#8767)
* Add more ruff rules

* Add more ruff rules

* pre-commit: Update ruff v0.0.269 -> v0.0.270

* Apply suggestions from code review

* Fix doctest

* Fix doctest (ignore whitespace)

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2023-05-26 09:34:17 +02:00
Tianyi Zheng
8102424950
local_weighted_learning.py: fix mypy errors and more (#8073) 2023-05-17 12:05:55 +12:00
Christian Clauss
4c1f876567
Solving the Top k most frequent words problem using a max-heap (#8685)
* Solving the `Top k most frequent words` problem using a max-heap

* Mentioning Python standard library solution in `Top k most frequent words` docstring

* ruff --fix .

* updating DIRECTORY.md

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2023-04-27 23:02:07 +05:30
Rohan Anand
bf30b18192
Update linear_discriminant_analysis.py and rsa_cipher.py (#8680)
* Update rsa_cipher.py by replacing %s with {}

* Update rsa_cipher.py

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* Update linear_discriminant_analysis.py

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* Update linear_discriminant_analysis.py

* updated

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2023-04-24 07:28:30 +02:00
Diego Gasco
54dedf844a
Dimensionality reduction (#8590) 2023-04-17 10:34:22 +12:00
Genesis
7cdb011ba4
New gitter link added or replaced (#8551)
* New gitter link added

* ruff==0.0.258

* noqa: S310

* noqa: S310

* Update ruff.yml

* Add Ruff rule S311

* Ruff v0.0.259

* return ("{:08x}" * 5).format(*self.h)

* pickle.load(f)  # noqa: S301

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2023-03-26 17:19:18 +02:00
pre-commit-ci[bot]
3f9150c1b2
[pre-commit.ci] pre-commit autoupdate (#8294)
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* Fix PLR1711 Useless  statement at end of function

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2023-03-20 22:16:13 +01:00
Christian Clauss
c96241b5a5
Replace bandit, flake8, isort, and pyupgrade with ruff (#8178)
* Replace bandit, flake8, isort, and pyupgrade with ruff

* Comment on ruff rules

* updating DIRECTORY.md

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2023-03-15 13:58:25 +01:00
pre-commit-ci[bot]
8959211100
[pre-commit.ci] pre-commit autoupdate (#8177)
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2023-03-13 23:18:35 +01:00
Christian Clauss
64543faa98
Make some ruff fixes (#8154)
* Make some ruff fixes

* Undo manual fix

* Undo manual fix

* Updates from ruff=0.0.251
2023-03-01 17:23:33 +01:00
Christian Clauss
c909da9b08
pre-commit: Upgrade psf/black for stable style 2023 (#8110)
* pre-commit: Upgrade psf/black for stable style 2023

Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310

> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…

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2023-02-01 18:44:54 +05:30
Tianyi Zheng
725731c8d2
Refactor local_weighted_learning.py to use np.array (#8069)
* updating DIRECTORY.md

* Format local_weighted_learning.py doctests for clarity

* Refactor local_weighted_learning.py to use np.array instead of np.mat

The np.matrix class is planned to be eventually depreciated in favor of
np.array, and current use of the class raises warnings in pytest

* Update local_weighted_learning.py documentation

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2023-01-02 14:07:39 +01:00
Victor Rodrigues da Silva
3f8b2af14b
Add autoclave cipher (#8029)
* Add autoclave cipher

* Update autoclave with the given suggestions

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* Fixing errors

* Another fixes

* Update and rename autoclave.py to autokey.py

* Rename gaussian_naive_bayes.py to gaussian_naive_bayes.py.broken.txt

* Rename gradient_boosting_regressor.py to gradient_boosting_regressor.py.broken.txt

* Rename random_forest_classifier.py to random_forest_classifier.py.broken.txt

* Rename random_forest_regressor.py to random_forest_regressor.py.broken.txt

* Rename equal_loudness_filter.py to equal_loudness_filter.py.broken.txt

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2022-12-18 23:26:39 +01:00
Christian Clauss
08c2245705
Upgrade to flake8 v6 (#8007)
* Upgrade to flake8 v6

* updating DIRECTORY.md

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2022-11-29 16:56:41 +01:00
Mark Mayo
f32d611689
clean of unnecessary checks, imports, calls (#7993) 2022-11-21 00:00:27 +13:00
Dhruv Manilawala
3bf86b91e7
fix: no implicit optional (#7984) 2022-11-15 14:55:14 +01:00
Caeden Perelli-Harris
f512b4d105
refactor: Move pascals triange to maths/ (#7932)
* refactor: Move pascals triange to maths/

* Update xgboost_classifier.py

* statsmodels is now compatible with Python 3.11

* statsmodels is now compatible with Python 3.11

* cython>=0.29.28

* cython>=0.29.28  # For statsmodels on Python 3.11

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2022-11-01 20:25:39 +01:00
Kushagra Makharia
69d04ff644
Added mean absolute error in linear regression (#7003)
* Added mean absolute error in linear regression

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* Update linear_regression.py

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2022-10-30 13:42:59 +01:00
Kushagra Makharia
47ddba1d91
Added cosine similarity (#7001)
* Added cosine similarity

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2022-10-29 17:38:40 +02:00
Andrey
cf08d9f5e7
Format docs (#7821)
* Reformat docs for odd_even_sort.py

* Fix docstring formatting

* Apply suggestions from code review

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2022-10-29 08:26:19 +02:00
Christian Clauss
19bff003aa
Adopt Python >= 3.8 assignment expressions using auto-walrus (#7737)
* Adopt Python >= 3.8 assignment expressions using auto-walrus

* updating DIRECTORY.md

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2022-10-28 15:54:54 +02:00
Caeden Perelli-Harris
61eedc16c3
Remove useless code in doctests (#7733)
* refactor: Fix matrix display deprecation

* refactor: Remove useless `print` and `pass` statements

* revert: Replace broken doctests

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2022-10-27 22:52:00 +02:00
Caeden Perelli-Harris
9bba42eca8
refactor: Indent ... for visual purposes (#7744) 2022-10-27 19:42:30 +02:00
Caeden Perelli-Harris
e8915097c4
refactor: Fix matrix display deprecation (#7729) 2022-10-27 15:15:15 +02:00
Christian Clauss
81ccf54c75
Rename xgboostclassifier.py to xgboost_classifier.py (#7550)
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2022-10-23 18:39:25 +05:30
Modassir Afzal
b092f9979f
XGB Regressor (#7107)
* Fixes: #{6551}

* Fixes: #{6551}

* Update xgboostclassifier.py

* Delete xgboostclassifier.py

* Update xgboostregressor.py

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* Update and rename xgboostregressor.py to xgboost_regressor.py

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2022-10-23 13:47:19 +02:00
Tianyi Zheng
cc10b20beb
Remove some print statements within algorithmic functions (#7499)
* Remove commented-out print statements in algorithmic functions

* Encapsulate non-algorithmic code in __main__

* Remove unused print_matrix function

* Remove print statement in __init__

* Remove print statement from doctest

* Encapsulate non-algorithmic code in __main__

* Modify algorithm to return instead of print

* Encapsulate non-algorithmic code in __main__

* Refactor data_safety_checker to return instead of print

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2022-10-22 13:33:51 +02:00
Modassir Afzal
42b56f2345
XGBoost Classifier (#7106)
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2022-10-20 23:59:11 +02:00
Sai Ganesh Manda
80ff25ed38
Update gaussian_naive_bayes.py (#7406)
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Just adding in a final metric of accuracy to declare...

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2022-10-19 13:43:26 +02:00
Tianyi Zheng
6d1e009f35
Remove depreciated np.float (#7394) 2022-10-18 11:57:03 +02:00
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0c7c5fa7b0
[pre-commit.ci] pre-commit autoupdate (#7387)
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- [github.com/asottile/pyupgrade: v3.0.0 → v3.1.0](https://github.com/asottile/pyupgrade/compare/v3.0.0...v3.1.0)
- [github.com/codespell-project/codespell: v2.2.1 → v2.2.2](https://github.com/codespell-project/codespell/compare/v2.2.1...v2.2.2)

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2022-10-17 21:59:25 +02:00
Caeden Perelli-Harris
f15cc2f01c
Follow Flake8 pep3101 and remove modulo formatting (#7339)
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2022-10-16 22:50:11 +02:00
Sagar Giri
b5b1eb2f00
Fix broken links by PR #7277 (#7319) 2022-10-16 15:45:25 +02:00