Scikit-Learn
Scikit-Learn ― Anomaly Detection .......................................................................................................... 75
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Scikit-Learn ― Anomaly Detection .......................................................................................................... 75 Methods ........................................................................................................................................................ 75 Sklearn algorithms for Outlier Detection ...................................................................................................... 76 Fitting an elliptic envelop .............................................................................................................................. 76 Isolation Forest .............................................................................................................................................. 78 Local Outlier Factor ....................................................................................................................................... 80 One-Class SVM............................................................................................................................................... 82 11. Scikit-Learn — K-Nearest Neighbors (KNN) ............................................................................................. 84 Types of algorithms ....................................................................................................................................... 84 Choosing Nearest Neighbors Algorithm ........................................................................................................ 85 12. Scikit-Learn ― KNN Learning ................................................................................................................... 87 Unsupervised KNN Learning .......................................................................................................................... 87 Supervised KNN Learning .............................................................................................................................. 91 KNeighborsClassifier ...................................................................................................................................... 91 RadiusNeighborsClassifier ............................................................................................................................. 97 Nearest Neighbor Regressor ......................................................................................................................... 99 KNeighborsRegressor .................................................................................................................................... 99 RadiusNeighborsRegressor .......................................................................................................................... 101 Yüklə 1,92 Mb. Dostları ilə paylaş:
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