sklearn主要包简介

原文： http://scikit-learn.org/stable/modules/classes.html

 

• • sklearn.base: Base classes and utility functions：基础类和方法
    • Base classes
    • Functions
  • sklearn.cluster: Clustering：聚集
    • Classes
    • Functions
  • sklearn.cluster.bicluster: Biclustering：核函数
    • Classes
  • sklearn.covariance: Covariance Estimators：协方差评估
  • sklearn.model_selection: Model Selection：模型选择
    • Splitter Classes
    • Splitter Functions
    • Hyper-parameter optimizers
    • Model validation
  • sklearn.datasets: Datasets：数据集管理
    • Loaders
    • Samples generator
  • sklearn.decomposition: Matrix Decomposition：矩阵分解
  • sklearn.dummy: Dummy estimators
  • sklearn.ensemble: Ensemble Methods：集成方法（随机森林和gbdt在此）
    • partial dependence
  • sklearn.exceptions: Exceptions and warnings 异常和警告
  • sklearn.feature_extraction: Feature Extraction  特征提取
    • From images
    • From text
  • sklearn.feature_selection: Feature Selection  特征选择
  • sklearn.gaussian_process: Gaussian Processes  高斯过程
  • sklearn.isotonic: Isotonic regression 保序回归
  • sklearn.kernel_approximationKernel Approximation  内核近似
  • sklearn.kernel_ridge Kernel Ridge Regression  岭回归
  • sklearn.discriminant_analysis: Discriminant Analysis  判别分析
  • sklearn.linear_model: Generalized Linear Models  广义线性模型
  • sklearn.manifold: Manifold Learning  
  • sklearn.metrics: Metrics      度量（主要各种指标）
    • Model Selection Interface
    • Classification metrics
    • Regression metrics
    • Multilabel ranking metrics
    • Clustering metrics
    • Biclustering metrics
    • Pairwise metrics
  • sklearn.mixture: Gaussian Mixture Models   高斯混合模型
  • sklearn.multiclass: Multiclass and multilabel classification   多类和多标记分类
    • Multiclass and multilabel classification strategies
  • sklearn.multioutput: Multioutput regression and classification  多输出回归和分类
  • sklearn.naive_bayes: Naive Bayes    朴素贝叶斯
  • sklearn.neighbors: Nearest Neighbors  最近邻
  • sklearn.neural_network: Neural network models  神经网络
  • sklearn.calibration: Probability Calibration   概率校准
  • sklearn.cross_decomposition: Cross decomposition 
  • sklearn.pipeline: Pipeline  管道
  • sklearn.preprocessing: Preprocessing and Normalization    预处理和规范化

• • sklearn.random_projection: Random projection    随机投影
  • sklearn.semi_supervised Semi-Supervised Learning  半监督学习
  • sklearn.svm: Support Vector Machines  支持向量机
    • Estimators
    • Low-level methods
  • sklearn.tree: Decision Trees   决策树
  • sklearn.utils: Utilities  实用工具
  • Recently deprecated   废弃接口
    • To be removed in 0.19
    • To be removed in 0.20