pca = PCA(n_components=117, whiten=True, random_state=42)中random_state参数作用

参考 https://stackoverflow.com/questions/48471632/sklearn-pca-random-state-parameter-function

Sklearn库给PCA方法添加了一个新的参数random_state，如下链接

http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html

random_state : int, RandomState instance or None, optional (default None)

If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random. Used when svd_solver == ‘arpack’ or ‘randomized’.

这个参数在如下中描述 Finding Structure With Randomness: Stochastic Algorithms For Constructing Approximate Matrix Decompositions 在给定误差限下的估计

state pca true random