April 2019
Intermediate to advanced
426 pages
11h 13m
English
Content preview from Mastering Python for Finance - Second Edition
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KNN classifier
The k-nearest neighbors (k-NN) classifier is a simple algorithm that conducts a simple majority vote of the nearest neighbors of each point, and that point is assigned to a class that has the most representatives within the nearest neighbors of the point. While there is not a need to train a model for generalization, the predicting phase is slower and costlier in terms of time and memory.
The KNeighborsClassifier class of the sklearn.neighbors module implements the KNN classifier.
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