Vedika1102/KNN-Classifier-from-scratchmain 1 Branch0 Tags Code Folders and filesLatest commit Vedika1102 Add files via upload 67b9a83· Jan 6, 2024 History3 Commits README.md Update README.md Jan 6, 2024 k_near
Code the kNN algorithm from scratch in NumPy Use the scikit-learn implementation to fit a kNN with a minimal amount of code Use GridSearchCV to find the best kNN hyperparameters Push kNN to its maximum performance using bagging A great thing about model-tuning tools is that many of them ar...
from knn import KNN # KNN类存储在knn.py文件中 cls = KNN(k) cls.fit(X_train, y_train) y_pred = cls.predict(X_test) print(f"Accuracy is {accuracy(y_test, y_pred)}") 输出:Accuracy is 0.9666666666666667,与sklearn的结果相同。 https://www.kaggle.com/code/susree64/k-nearest-neighbor...
Hyperparameters for the HOG need to be set in the following line of code within HOG-CatDog.py: fd, hogImage = hog(image, orientations=64, pixels_per_cell=(32, 32), cells_per_block=(1, 1), visualize=True, multichannel=True) KNN (k-nearest neighbors) KNN written from scratch using...
No external dependencies like numpy, scipy, etc... and it's so simple that you can just copy and paste, or translate to other languages! Your teacher will assume that you are a good student who coded it from scratch. Just star this project if you find it helpful... so others can kn...
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