【文件属性】：
文件名称：scikit-learn学习笔记
文件大小：786KB
文件格式：DOC
更新时间：2020-05-13 11:46:06
机器学习
简介： 2
主要特点： 2
scikit-learn安装：（ubuntu版本14.04.1） 2
Classification 2
1.监督学习 2
1.1广义线性模型： 2
1.2 支持向量机 7
1.3 随机梯度下降 8
1.4 最近邻 9
1.5 Gaussian Processes 13
1.6 Cross decomposition 14
1.7 Naive Bayes 14
1.8 Decision Trees 15
1.9 Ensemble methods 18
1.10 Multiclass and multilabel algorithms 23
1.11 Feature selection 24
1.14 Isotonic regression 27
2. 27
2.3 Clustering 28
2.5 Decomposing signals in components (matrix factorization problems) 30
3.Model selection and evaluation 30
3.1 Cross-validation: evaluating estimator performance 30
3.2 Grid Search: Searching for estimator parameters 34
3.3 Pipeline: chaining estimators 35
3.4 FeatureUnion: Combining feature extractors 36
3.5. Model evaluation: quantifying the quality of predictions 36
3.6. Model persistence 37
3.7. Validation curves: plotting scores to evaluate models 37
4. 38
4.2 Preprocessing data 38
4.4 Random Projection 43