sklearn主要包简介

怼烎@ 2022-09-27 06:50 172阅读 0赞

原文： [ http://scikit-learn.org/stable/modules/classes.html][http_scikit-learn.org_stable_modules_classes.html]

*   *  [`sklearn.base`: Base classes and utility functions：基础类和方法][sklearn.base_ Base classes and utility functions]
        
         *  [Base classes][]
         *  [Functions][]
     *  [`sklearn.cluster`: Clustering：聚集][sklearn.cluster_ Clustering]
        
         *  [Classes][]
         *  [Functions][Functions 1]
     *  [`sklearn.cluster.bicluster`: Biclustering：核函数][sklearn.cluster.bicluster_ Biclustering]
        
         *  [Classes][Classes 1]
     *  [`sklearn.covariance`: Covariance Estimators：协方差评估][sklearn.covariance_ Covariance Estimators]
     *  [`sklearn.model_selection`: Model Selection：模型选择][sklearn.model_selection_ Model Selection]
        
         *  [Splitter Classes][]
         *  [Splitter Functions][]
         *  [Hyper-parameter optimizers][]
         *  [Model validation][]
     *  [`sklearn.datasets`: Datasets：数据集管理][sklearn.datasets_ Datasets]
        
         *  [Loaders][]
         *  [Samples generator][]
     *  [`sklearn.decomposition`: Matrix Decomposition：矩阵分解][sklearn.decomposition_ Matrix Decomposition]
     *  [`sklearn.dummy`: Dummy estimators][sklearn.dummy_ Dummy estimators]
     *  [`sklearn.ensemble`: Ensemble Methods：集成方法（随机森林和gbdt在此）][sklearn.ensemble_ Ensemble Methods_gbdt]
        
         *  [partial dependence][]
     *  [`sklearn.exceptions`: Exceptions and warnings][sklearn.exceptions_ Exceptions and warnings] 异常和警告
     *  [`sklearn.feature_extraction`: Feature Extraction][sklearn.feature_extraction_ Feature Extraction]  特征提取
        
         *  [From images][]
         *  [From text][]
     *  [`sklearn.feature_selection`: Feature Selection][sklearn.feature_selection_ Feature Selection]  特征选择
     *  [`sklearn.gaussian_process`: Gaussian Processes][sklearn.gaussian_process_ Gaussian Processes]  高斯过程
     *  [`sklearn.isotonic`: Isotonic regression][sklearn.isotonic_ Isotonic regression] 保序回归
     *  [`sklearn.kernel_approximation`Kernel Approximation][sklearn.kernel_approximation_Kernel Approximation]  内核近似
     *  [`sklearn.kernel_ridge` Kernel Ridge Regression][sklearn.kernel_ridge_ Kernel Ridge Regression]  岭回归
     *  [`sklearn.discriminant_analysis`: Discriminant Analysis][sklearn.discriminant_analysis_ Discriminant Analysis]  判别分析
     *  [`sklearn.linear_model`: Generalized Linear Models][sklearn.linear_model_ Generalized Linear Models]  广义线性模型
     *  [`sklearn.manifold`: Manifold Learning][sklearn.manifold_ Manifold Learning]  
     *  [`sklearn.metrics`: Metrics][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][sklearn.mixture_ Gaussian Mixture Models]   高斯混合模型
     *  [`sklearn.multiclass`: Multiclass and multilabel classification][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][sklearn.multioutput_ Multioutput regression and classification]  多输出回归和分类
     *  [`sklearn.naive_bayes`: Naive Bayes][sklearn.naive_bayes_ Naive Bayes]    朴素贝叶斯
     *  [`sklearn.neighbors`: Nearest Neighbors][sklearn.neighbors_ Nearest Neighbors]  最近邻
     *  [`sklearn.neural_network`: Neural network models][sklearn.neural_network_ Neural network models]  神经网络
     *  [`sklearn.calibration`: Probability Calibration][sklearn.calibration_ Probability Calibration]   概率校准
     *  [`sklearn.cross_decomposition`: Cross decomposition][sklearn.cross_decomposition_ Cross decomposition] 
     *  [`sklearn.pipeline`: Pipeline][sklearn.pipeline_ Pipeline]  管道
     *  [`sklearn.preprocessing`: Preprocessing and Normalization][sklearn.preprocessing_ Preprocessing and Normalization]    预处理和规范化

*   *  [`sklearn.random_projection`: Random projection][sklearn.random_projection_ Random projection]    随机投影
     *  [`sklearn.semi_supervised` Semi-Supervised Learning][sklearn.semi_supervised_ Semi-Supervised Learning]  半监督学习
     *  [`sklearn.svm`: Support Vector Machines][sklearn.svm_ Support Vector Machines]  支持向量机
        
         *  [Estimators][]
         *  [Low-level methods][]
     *  [`sklearn.tree`: Decision Trees][sklearn.tree_ Decision Trees]   决策树
     *  [`sklearn.utils`: Utilities][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][]

[http_scikit-learn.org_stable_modules_classes.html]: http://scikit-learn.org/stable/modules/classes.html
[sklearn.base_ Base classes and utility functions]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.base
[Base classes]: http://scikit-learn.org/stable/modules/classes.html#base-classes
[Functions]: http://scikit-learn.org/stable/modules/classes.html#functions
[sklearn.cluster_ Clustering]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.cluster
[Classes]: http://scikit-learn.org/stable/modules/classes.html#classes
[Functions 1]: http://scikit-learn.org/stable/modules/classes.html#id1
[sklearn.cluster.bicluster_ Biclustering]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.cluster.bicluster
[Classes 1]: http://scikit-learn.org/stable/modules/classes.html#id2
[sklearn.covariance_ Covariance Estimators]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.covariance
[sklearn.model_selection_ Model Selection]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection
[Splitter Classes]: http://scikit-learn.org/stable/modules/classes.html#splitter-classes
[Splitter Functions]: http://scikit-learn.org/stable/modules/classes.html#splitter-functions
[Hyper-parameter optimizers]: http://scikit-learn.org/stable/modules/classes.html#hyper-parameter-optimizers
[Model validation]: http://scikit-learn.org/stable/modules/classes.html#model-validation
[sklearn.datasets_ Datasets]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.datasets
[Loaders]: http://scikit-learn.org/stable/modules/classes.html#loaders
[Samples generator]: http://scikit-learn.org/stable/modules/classes.html#samples-generator
[sklearn.decomposition_ Matrix Decomposition]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.decomposition
[sklearn.dummy_ Dummy estimators]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.dummy
[sklearn.ensemble_ Ensemble Methods_gbdt]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.ensemble
[partial dependence]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.ensemble.partial_dependence
[sklearn.exceptions_ Exceptions and warnings]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.exceptions
[sklearn.feature_extraction_ Feature Extraction]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.feature_extraction
[From images]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.feature_extraction.image
[From text]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.feature_extraction.text
[sklearn.feature_selection_ Feature Selection]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.feature_selection
[sklearn.gaussian_process_ Gaussian Processes]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.gaussian_process
[sklearn.isotonic_ Isotonic regression]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.isotonic
[sklearn.kernel_approximation_Kernel Approximation]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.kernel_approximation
[sklearn.kernel_ridge_ Kernel Ridge Regression]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.kernel_ridge
[sklearn.discriminant_analysis_ Discriminant Analysis]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.discriminant_analysis
[sklearn.linear_model_ Generalized Linear Models]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.linear_model
[sklearn.manifold_ Manifold Learning]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.manifold
[sklearn.metrics_ Metrics]: http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics
[Model Selection Interface]: http://scikit-learn.org/stable/modules/classes.html#model-selection-interface
[Classification metrics]: http://scikit-learn.org/stable/modules/classes.html#classification-metrics
[Regression metrics]: http://scikit-learn.org/stable/modules/classes.html#regression-metrics
[Multilabel ranking metrics]: http://scikit-learn.org/stable/modules/classes.html#multilabel-ranking-metrics
[Clustering metrics]: http://scikit-learn.org/stable/modules/classes.html#clustering-metrics
[Biclustering metrics]: http://scikit-learn.org/stable/modules/classes.html#biclustering-metrics
[Pairwise metrics]: http://scikit-learn.org/stable/modules/classes.html#pairwise-metrics
[sklearn.mixture_ Gaussian Mixture Models]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.mixture
[sklearn.multiclass_ Multiclass and multilabel classification]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.multiclass
[Multiclass and multilabel classification strategies]: http://scikit-learn.org/stable/modules/classes.html#multiclass-and-multilabel-classification-strategies
[sklearn.multioutput_ Multioutput regression and classification]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.multioutput
[sklearn.naive_bayes_ Naive Bayes]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.naive_bayes
[sklearn.neighbors_ Nearest Neighbors]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.neighbors
[sklearn.neural_network_ Neural network models]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.neural_network
[sklearn.calibration_ Probability Calibration]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.calibration
[sklearn.cross_decomposition_ Cross decomposition]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.cross_decomposition
[sklearn.pipeline_ Pipeline]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.pipeline
[sklearn.preprocessing_ Preprocessing and Normalization]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.preprocessing
[sklearn.random_projection_ Random projection]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.random_projection
[sklearn.semi_supervised_ Semi-Supervised Learning]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.semi_supervised
[sklearn.svm_ Support Vector Machines]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.svm
[Estimators]: http://scikit-learn.org/stable/modules/classes.html#estimators
[Low-level methods]: http://scikit-learn.org/stable/modules/classes.html#low-level-methods
[sklearn.tree_ Decision Trees]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.tree
[sklearn.utils_ Utilities]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.utils
[Recently deprecated]: http://scikit-learn.org/stable/modules/classes.html#recently-deprecated
[To be removed in 0.19]: http://scikit-learn.org/stable/modules/classes.html#to-be-removed-in-0-19
[To be removed in 0.20]: http://scikit-learn.org/stable/modules/classes.html#to-be-removed-in-0-20