One-class SVM with non-linear kernel (RBF)One-class SVM with non-linear kernel (RBF)# An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or different to the training set. import numpy as np from sklearn import svm # Generate train data X = 0.3 * np.random.randn(100, 2) X_train = np.r_[X + 2, X - 2] # Gener
