[ 변수 처리] 파이썬 결측치 대체 알고리즘 비교 예시

Class로 만들어서 비교해보기 from autoimpute import imputations import impyute as impy import numpy as np from missingpy import MissForest from tqdm import tqdm_notebook n = 30 arr = np.random.uniform(high=6, size=(n, n)) arr[:,0:5] = arr[:,0:5].astype(int) true = arr.copy() arr.ravel()[np.random.choice(arr.size , 100 , replace = False )] = np.nan mask = np.isnan(arr) * 1 class Evaluate : """ X = missing d..

2019.09.10