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Package: python-mvpa (0.4.5~dev23-2)

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multivariate pattern analysis with Python

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, GNB, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun).

While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets.

Tags: Software Development: Python Development, Libraries, Field: Medical Imaging, Implemented in: Python, User Interface: Command Line, Text-based Interactive, Role: Development Library, Program, Scope: Application, Purpose: Analysing, Works with: Image, Raster Image, Supports Format: Plain Text

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