Sklearn preprocessing sklearn. preprocessing 包提供了几个常用的实用函数和转换器类，用于将原始特征向量转换为更适合下游估计器的表示。 一般来说，许多学习算法（如线性模型）都受益于数据集的标准化（参见 特征缩放的重要性 ）。 Mar 16, 2025 · sklearn. This estimator scales and translates each feature individually such that it is in the given range on the training set, e. pyplot as plt import numpy as np from matplotlib. Normalizer (norm = 'l2', *, copy = True) [source] #. Power transforms are a family of parametric, monotonic transformations that are applied to make data more Gaussian-like. The transformation is given by: Nov 12, 2019 · import pandas as pd from sklearn. Centering and Scaling: Separating mean centering and variance scaling steps. Specifies an upper limit to the number of output features for each input feature when considering infrequent categories. read_csv('stock_prices. qbgoftanlmqktpzhpycwzpbhgxmeroqimlfrvrwgfdggnminifxheyufsgyifqskcxyvzl