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* Created folder for losses in Machine_Learning * Update binary_cross_entropy.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update mean_squared_error.py * Update binary_cross_entropy.py * Update mean_squared_error.py * Update binary_cross_entropy.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update mean_squared_error.py * Update binary_cross_entropy.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update mean_squared_error.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * 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 Co-authored-by: Christian Clauss <cclauss@me.com> * Update machine_learning/losses/mean_squared_error.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update machine_learning/losses/binary_cross_entropy.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update mean_squared_error.py * Update machine_learning/losses/mean_squared_error.py Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com> * 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 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update mean_squared_error.py * Update mean_squared_error.py * Update binary_cross_entropy.py * Update mean_squared_error.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: Tianyi Zheng <tianyizheng02@gmail.com> |
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.. | ||
forecasting | ||
local_weighted_learning | ||
loss_functions | ||
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 | ||
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 |