my_odd_scaler=preprocessing.MinMaxScaler(feature_range=(-3.14,3.14)) Furthermore, another option is normalization. This will scale each sample to have a length of 1. This is different from the other types of scaling done previously, where the features were scaled. Normalization is illustrated in...
import math from sklearn import preprocessing import pandas as pd from sklearn.datasets import load_iris import copy as cp from statsmodels.stats.outliers_influence import variance_inflation_factor ### VIF for original data iris_data = load_iris() iris_source = pd.DataFrame(data = iris_data[...
、、、 ; double normalization_constant;但是选项1:派生类必须在构造函数中手动调用normalization_constant = get_normalization_constant();函数。选项2:对象定义一个用于初始化常量的虚拟函数: normalization</ 浏览7提问于2012-10-02得票数 1 回答已采纳 1回答 OpenVINO不能转换Mixer模型 、、、 我使用这个存储库...