ML : Prior Posterior
Prior, Posterior 구분하기 import numpy as np from matplotlib import pyplot as plt from sklearn.gaussian_process import GaussianProcessRegressor from sklearn.gaussian_process.kernels import (RBF, Matern, RationalQuadratic, ExpSineSquared, DotProduct, ConstantKernel) kernels = [1.0 * RBF(length_scale=1.0, length_scale_bounds=(1e-1, 10.0)), 1.0 * RationalQuadratic(length_scale=1.0, alpha=0.1), 1.0 * Ex..
2020. 5. 29.