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Roadmap — scikit-learn 1.8.0 documentation
# Purpose of this document # This document lists general directions...maintaining a high-quality, well-documented collection of canonical tools...scikit-learn.org/stable/roadmap.html -
Support — scikit-learn 1.8.0 documentation
this document. Documentation Resources # This documentation is...is for 1.8.0. Documentation for other versions can be found here...scikit-learn.org/stable/support.html -
Scikit-learn governance and decision-making — s...
Documentation Team Members of the documentation team engage...decision-making # The purpose of this document is to formalize the governance...scikit-learn.org/stable/governance.html -
Apache Lucene™ 10.4.0 Documentation
0 Documentation Lucene is a Java full-text...applications. This is the official documentation for Apache Lucene 10.4.0...lucene.apache.org/core/10_4_0/index.html -
Developer’s Guide — scikit-learn 1.8.0 do...
resources Documentation Building the documentation Generated...report Contributing code and documentation Development workflow Pull...scikit-learn.org/stable/developers/index.html -
Bug triaging and issue curation — scikit-learn ...
as “Documentation” when the issue is about documentation, “Bug”...actions are typically useful: documenting issues that are missing elements...scikit-learn.org/stable/developers/bug_triaging.html -
6. Visualizations — scikit-learn 1.8.0 document...
Scikit-learn defines a simple API for creating visualizations for machine learning. The key feature of this API is to allow for quick plotting and visual adjustments without recalculation. We provi...scikit-learn.org/stable/visualizations.html -
7.5. Unsupervised dimensionality reduction — sc...
relevant section of the documentation: Random Projection . Examples...scikit-learn.org/stable/modules/unsupervised_reduction.html -
Search - scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version Search Ctrl + Kscikit-learn.org/stable/search.html -
7. Dataset transformations — scikit-learn 1.8.0...
scikit-learn provides a library of transformers, which may clean (see Preprocessing data), reduce (see Unsupervised dimensionality reduction), expand (see Kernel Approximation) or generate (see Fea...scikit-learn.org/stable/data_transforms.html