* feat: adding Apriori Algorithm
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: doctest, typo
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: type error, code refactore
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: refactore code
* fix: doctest
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: E501, B007
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: err
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: arg typ err
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix: typo
* fix: typo
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Replace generate_candidates() with itertools.combinations()
* mypy
* Update apriori_algorithm.py
---------
Co-authored-by: Jeel Gajera <jeelgajera00@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* 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(
* 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
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Fix DeprecationWarning in local_weighted_learning.py
Fix DeprecationWarning that occurs during build due to converting an
np.ndarray to a scalar implicitly
* DeprecationWarning fix attempt 2
* Add type hints to k_nearest_neighbours.py
* Refactor k_nearest_neighbours.py into class
* Add documentation to k_nearest_neighbours.py
* Use heap-based priority queue for k_nearest_neighbours.py
* Delete knn_sklearn.py
* updating DIRECTORY.md
* Use optional args in k_nearest_neighbours.py for demo purposes
* Fix wrong function arg in k_nearest_neighbours.py
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Update xgboost_regressor.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* 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
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Solving the `Top k most frequent words` problem using a max-heap
* Mentioning Python standard library solution in `Top k most frequent words` docstring
* ruff --fix .
* updating DIRECTORY.md
---------
Co-authored-by: Amos Paribocci <aparibocci@gmail.com>
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Update rsa_cipher.py by replacing %s with {}
* Update rsa_cipher.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update linear_discriminant_analysis.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update linear_discriminant_analysis.py
* Update linear_discriminant_analysis.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update linear_discriminant_analysis.py
* Update linear_discriminant_analysis.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update linear_discriminant_analysis.py
* Update machine_learning/linear_discriminant_analysis.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update linear_discriminant_analysis.py
* updated
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* 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…
Also, add https://github.com/tox-dev/pyproject-fmt and https://github.com/abravalheri/validate-pyproject to pre-commit.
I only modified `.pre-commit-config.yaml` and all other files were modified by pre-commit.ci and psf/black.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* 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
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Add autoclave cipher
* Update autoclave with the given suggestions
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* 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
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* 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
Co-authored-by: Christian Clauss <cclauss@me.com>
* Added mean absolute error in linear regression
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Code feedback changes
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Apply suggestions from code review
Co-authored-by: Caeden Perelli-Harris <caedenperelliharris@gmail.com>
* Apply suggestions from code review
* Update linear_regression.py
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: Caeden Perelli-Harris <caedenperelliharris@gmail.com>
* Added cosine similarity
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* Adopt Python >= 3.8 assignment expressions using auto-walrus
* updating DIRECTORY.md
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* Fixes: #{6551}
* Fixes: #{6551}
* Update xgboostclassifier.py
* Delete xgboostclassifier.py
* Update xgboostregressor.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: #{6551}
* Fixes : {#6551}
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: {#6551]
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostregressor.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostregressor.py
* Update xgboostregressor.py
* Fixes: { #6551}
* Update xgboostregressor.py
* Fixes: { #6551}
* Fixes: { #6551}
* Update and rename xgboostregressor.py to xgboost_regressor.py
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* Fixes: #{6551}
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: #{6551}
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostclassifier.py
* Fixes : #6551
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes : #6551
* Fixes : #6551
* Fixes: #6551
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: #6551
* Fixes#6551
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: {#6551}
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: {#6551}
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: #6551
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* FIXES: {#6551}
* Fixes : { #6551}
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes : { #6551}
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: { #6551]
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* Apply suggestions from code review
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* Update xgboostclassifier.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: { #6551}
* Update xgboostclassifier.py
* Fixes: { #6551}
* Update xgboostclassifier.py
* Fixes: ( #6551)
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixes: { #6551}
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update gaussian_naive_bayes.py
Just adding in a final metric of accuracy to declare...
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* ci: Add ``flake8-pep3101`` plugin to ``pre-commit``
* refactor: Remove all modulo string formatting
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* refactor: Remove ``flake8-pep3101`` plugin from ``pre-commit``
* revert: Revert to modulo formatting
* refactor: Use f-string instead of `join`
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* added self organising maps algo
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update machine_learning/Self_Organising_Maps.py
* Update and rename Self_Organising_Maps.py to self_organizing_map.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update self_organizing_map.py
* Update self_organizing_map.py
* Update self_organizing_map.py
* Update self_organizing_map.py
Co-authored-by: Eeman Majumder <eemanmajumder@Eemans-MacBook-Pro.local>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* initial commit
* first implementation of hard margin
* remove debugging print
* many commits squashed because pre-commit was buggy
* more kernels and improved kernel management
* remove unnecessary code + fix names + formatting + doctests
* rename to fit initial naming
* better naming and documentation
* better naming and documentation
* MAINT: Used f-string method
Updated the code with f-string methods wherever required for a better and cleaner understanding of the code.
* Updated files with f-string method
* Update rsa_key_generator.py
* Update rsa_key_generator.py
* Update elgamal_key_generator.py
* Update lru_cache.py
I don't think this change is efficient but it might tackle the error as the error was due to using long character lines.
* Update lru_cache.py
* Update lru_cache.py
Co-authored-by: cyai <seriesscar@gmail.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* The black formatter is no longer beta
* pre-commit autoupdate
* pre-commit autoupdate
* Remove project_euler/problem_145 which is killing our CI tests
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Updated name from lstm_prediction.py_lf to lstm_prediction.py and also imported keras
* Edited the changes
* tensorflow 2.5 is has shipped!!!
* Update lstm_prediction.py
* Update lstm_prediction.py
* One blank line, not two?
Co-authored-by: Christian Clauss <cclauss@me.com>
* Add initial support for moving tests to GitHub
* Add setup Python step in the workflow
* Remove Travis CI config file
* Fix GitHub action file for build to trigger on PR
* Use Python 3.8 as tensorflow is not yet supported
* Fix ciphers.hill_cipher doctest error
* Fix: instagram crawler tests failing on GitHub actions
* Fix floating point errors in doctest
* Small change to test cache
* Apply suggestions from code review
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update instagram_crawler.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* add forecasting code
* add statsmodel
* sort import
* sort import fix
* fixing black
* sort requirement
* optimize code
* try with limited data
* sort again
* sort fix
* sort fix
* delete warning and black
* add code for forecasting
* use black
* add more hints to describe
* add doctest
* finding whitespace
* fixing doctest
* delete
* revert back
* revert back
* revert back again
* revert back again
* revert back again
* try trimming whitespace
* try adding doctypeand etc
* fixing reviews
* deleting all the space
* fixing the build
* delete x
* add description for safety checker
* deleting subscription integer
* fix docthint
* make def to use function parameters and return values
* make def to use function parameters and return values
* type hints on data safety checker
* optimize code
* Update run.py
Co-authored-by: FVFYK3GEHV22 <fvfyk3gehv22@FVFYK3GEHV22s-MacBook-Pro.local>
Co-authored-by: Christian Clauss <cclauss@me.com>
* Add GitHub action file for pre-commit
* Fix errors exposed by pre-commit hook:
- Remove executable bit from files without shebang. I checked those
file and it was not needed.
- Fix with black
* Apply suggestions from code review
Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
* Fix all errors mentioned in pre-commit run:
- Fix end of file
- Remove trailing whitespace
- Fix files with black
- Fix imports with isort
* Fix errors
* Update scoring_functions.py
We can find accuracy by manually if we are not going to use sklearn library.
* Update scoring_functions.py
* Update machine_learning/scoring_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Added Standardization and Normalization algorithms with built-in stats
* Implement ndigits for rounding
Co-authored-by: Christian Clauss <cclauss@me.com>
* black format
* updating DIRECTORY.md
* fixes
* fixup! Format Python code with psf/black push
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* NLP Word Frequency Algorithms
* Added type hints and Wikipedia link to tf-idf
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Fix line length for flake8
* Fix line length for flake8 V2
* Add line escapes and change int to float
* Corrected doctests
* Fix for TravisCI
* Fix for TravisCI V2
* Tests passing locally
* Tests passing locally
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update machine_learning/word_frequency_functions.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Add doctest examples and clean up docstrings
Co-authored-by: Christian Clauss <cclauss@me.com>
* Tighten up psf/black and flake8
* Fix some tests
* Fix some E741
* Fix some E741
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Fix astar
Single character variable names are old school.
* fixup! Format Python code with psf/black push
* Tuple
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Added Lstm example for stock predection
* Changes after review
* changes after build failed
* Add Kiera’s to requirements.txt
* requirements.txt: Add keras and tensorflow
* psf/black
Co-authored-by: Christian Clauss <cclauss@me.com>
