scikit-learn 1.4.0 is available for download (Changelog). All releases: What's new (Changelog).Community About us: See people and contributing More Machine Learning: Find related projects Questions? See FAQ, support, and stackoverflow Subscribe to the mailing list Blog: blog.scikit-learn.org ...
Blog:blog.scikit-learn.org Logos & Branding:logos and branding Calendar:calendar LinkedIn:linkedin/scikit-learn Bluesky:bluesky/scikit-learn.org Mastodon:@sklearn YouTube:youtube.com/scikit-learn Facebook:@scikitlearnofficial Instagram:@scikitlearnofficial ...
scikit-learn 1.4.0 is available for download (Changelog). All releases: What's new (Changelog).Community About us: See people and contributing More Machine Learning: Find related projects Questions? See FAQ, support, and stackoverflow Subscribe to the mailing list Blog: blog.scikit-learn.org ...
scikit-learn: machine learning in Python — scikit-learn 0.20.0 documentation https://scikit-learn.org/stable/index.html Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts
Installing scikit-learn — scikit-learn 0.18.1 documentation http://scikit-learn.org/stable/install.html 1、首先用Pip指令更新: pip install -U scikit-learn结果说已经更新了:Requirement already up-to-date: scikit-learn in c:\program files\anaconda2\lib\site-packages ...
目前Scikit-learn已经实现的算法包括:支持向量机(SVM),最近邻,逻辑回归,随机森林,决策树以及多层感知器(MLP)神经网络等等。 需要指出的是,由于Scikit-learn本身不支持深度学习,也不支持GPU加速,因此这里对于MLP的实现并不适合于处理大规模问题。有相关需求的读者可以查看同样对Python有良好支持的Keras和Theano等框架。
HTML documentation (development version):https://scikit-learn.org/dev/ FAQ:https://scikit-learn.org/stable/faq.html Communication Mailing list:https://mail.python.org/mailman/listinfo/scikit-learn Logos & Branding:https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos ...
Python 机器学习包 - scikit-learn 0.20.2 documentationwww.studyai.cn 该中文文档由人工智能社区的Antares翻译! 无监督学习: 探索寻找数据的表现方式(representations) 聚类: 把观测数据分组 K-means 聚类 分层聚合聚类法: Ward 连接约束聚类(Connectivity-constrained clustering) 特征聚集(Feature agglomeration) 分...
在scikit-learn 中, 一个用于分类的估计器(estimator)是一个 Python 对象,该对象实现了成员方法 fit(X, y) 和 predict(T). 分类估计器的一个例子是类 sklearn.svm.SVC, 它实现了支持向量分类器 (support vector classification)。该 estimator 的构造函数(constructor)接受模型参数(model’s parameters)作为构造...
Scikit-learn 是众多专门研究机器学习的 scikit（即 SciPy Toolkits 的简称）之一。 scikit 代表一个包，它太专业了，无法包含在 SciPy 中，因此被打包为许多 scikit 之一。另一个流行的 scikit 是 scikit-image（即图像处理算法的集合）。Scikit-learn 是 Python 机器学习的支柱之一，因为它允许您构建机器学习模型并...