[ etiona ]
[ Източник: scikit-learn ]
Пакет: python-sklearn (0.19.1-3)
Връзки за python-sklearn
Ресурси за Trisquel:
Изтегляне на пакет-източник scikit-learn.
Отговорник:
Original Maintainers:
- NeuroDebian Team
- Yaroslav Halchenko
- Michael Hanke
Външни препратки:
- Начална страница [scikit-learn.sourceforge.net]
Подобни пакети:
Python modules for machine learning and data mining
scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality:
- Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM)
Други пакети, свързани с python-sklearn
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- dep: python
- interactive high-level object-oriented language (default version)
-
- dep: python-joblib (>= 0.9.2)
- tools to provide lightweight pipelining in Python
-
- dep: python-numpy
- Numerical Python adds a fast array facility to the Python language
-
- dep: python-scipy
- scientific tools for Python
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- dep: python-sklearn-lib (>= 0.19.1-3)
- low-level implementations and bindings for scikit-learn
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- rec: python-matplotlib
- Python based plotting system in a style similar to Matlab
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- rec: python-nose
- test discovery and running of Python's unittest
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- rec: python-pytest
- Simple, powerful testing in Python
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- sug: ipython
- Enhanced interactive Python 2 shell
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- sug: python-dap
- DAP (Data Access Protocol) client and server
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- sug: python-scikits-optimization
- Пакетът не е наличен
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- sug: python-sklearn-doc
- documentation and examples for scikit-learn
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- enh: python-mdp
- Modular toolkit for Data Processing
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- enh: python-mvpa2
- multivariate pattern analysis with Python v. 2
Изтегляне на python-sklearn
| Архитектура | Големина на пакета | Големина след инсталиране | Файлове |
|---|---|---|---|
| all | 1 340,9 кБ | 7020 кБ | [списък на файловете] |