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ae4d7d4d04
* add similarity_search.py in machine_learning adding similarity_search algorithm in machine_learning * fix pre-commit test, apply feedback isort, codespell changed. applied feedback(np -> np.ndarray) * apply feedback add type hints to euclidean method * apply feedback - changed euclidean's type hints - changed few TypeError to ValueError - changed range(len()) to enumerate() - changed error's strings to f-string - implemented without type() - add euclidean's explanation * apply feedback - deleted try/catch in euclidean - added error tests - name change(value -> value_array) * # doctest: +NORMALIZE_WHITESPACE * Update machine_learning/similarity_search.py * placate flake8 Co-authored-by: Christian Clauss <cclauss@me.com> |
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.. | ||
forecasting | ||
lstm | ||
__init__.py | ||
astar.py | ||
data_transformations.py | ||
decision_tree.py | ||
gaussian_naive_bayes.py | ||
gradient_boosting_regressor.py | ||
gradient_descent.py | ||
k_means_clust.py | ||
k_nearest_neighbours.py | ||
knn_sklearn.py | ||
linear_discriminant_analysis.py | ||
linear_regression.py | ||
logistic_regression.py | ||
multilayer_perceptron_classifier.py | ||
polymonial_regression.py | ||
random_forest_classifier.py | ||
random_forest_regressor.py | ||
scoring_functions.py | ||
sequential_minimum_optimization.py | ||
similarity_search.py | ||
support_vector_machines.py | ||
word_frequency_functions.py |