原文： http://scikit-learn.org/stable/modules/classes.html
sklearn.base: Base classes and utility functions：基础类和方法 Base classesFunctions sklearn.cluster: Clustering：聚集 ClassesFunctions 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 ClassesSplitter FunctionsHyper-parameter optimizers Model validation sklearn.datasets: Datasets：数据集管理 LoadersSamples 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 imagesFrom 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 InterfaceClassification metricsRegression metricsMultilabel ranking metricsClustering metricsBiclustering metricsPairwise 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
