[ 原始碼： mdp ]
套件：python3-mdp（3.6-2）
Modular toolkit for Data Processing
Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers.
其他與 python3-mdp 有關的套件
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-future
- Clean single-source support for Python 3 and 2 - Python 3.x
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- dep: python3-numpy
- Fast array facility to the Python 3 language
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- rec: python3-joblib
- tools to provide lightweight pipelining in Python
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- rec: python3-libsvm
- Python interface for support vector machine library
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- rec: python3-pytest
- Simple, powerful testing in Python3
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- rec: python3-scipy
- scientific tools for Python 3
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- rec: python3-sklearn
- Python modules for machine learning and data mining - Python 3