[머신러닝] Kerner Trick & Lagrangue Multiplier

import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn import datasets from sklearn.preprocessing import StandardScaler from sklearn.svm import SVC from sklearn.model_selection import train_test_split plt.close("all") [X, Y]=datasets.make_moons(n_samples=200, shuffle=True, noise=0.2, random_state=15) #[X, Y]=datasets.make_circles(n_samples=200, shuffle=True, noise=0...

2020.09.20