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* 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 --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> * [main] Fix typo due to auto review change * Add doctests for all functions * Add MFCC feature extraction to machine learning * Add standalone usage in comments * Apply suggestions from code review Co-authored-by: Christian Clauss <cclauss@me.com> * [main] Fix typo due to auto review change * Add doctests for all functions * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix some pre-commit issues * Update review issues * Remove types from docstring * Rename dct * Add mfcc docstring * Add typing to several functions * Apply suggestions from code review * Update mfcc.py * get_filter_points() -> tuple[np.ndarray, np.ndarray]: * algorithm --------- Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com> Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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| .. | ||
| forecasting | ||
| local_weighted_learning | ||
| lstm | ||
| __init__.py | ||
| astar.py | ||
| data_transformations.py | ||
| decision_tree.py | ||
| dimensionality_reduction.py | ||
| gaussian_naive_bayes.py.broken.txt | ||
| gradient_boosting_regressor.py.broken.txt | ||
| gradient_descent.py | ||
| k_means_clust.py | ||
| k_nearest_neighbours.py | ||
| knn_sklearn.py | ||
| linear_discriminant_analysis.py | ||
| linear_regression.py | ||
| logistic_regression.py | ||
| mfcc.py | ||
| multilayer_perceptron_classifier.py | ||
| polynomial_regression.py | ||
| random_forest_classifier.py.broken.txt | ||
| random_forest_regressor.py.broken.txt | ||
| scoring_functions.py | ||
| self_organizing_map.py | ||
| sequential_minimum_optimization.py | ||
| similarity_search.py | ||
| support_vector_machines.py | ||
| word_frequency_functions.py | ||
| xgboost_classifier.py | ||
| xgboost_regressor.py | ||