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	63587.	English:		munkres algorithm for the Assignment Problem - Python library
				Summary
Current French:				(no translation yet)
				Located in Package: python-munkres
	63588.	English:		The Munkres module provides an implementation of the Munkres algorithm (also called the Hungarian algorithm or the Kuhn-Munkres algorithm), useful for solving the Assignment Problem.
				Description
Current French:				(no translation yet)
				Located in Package: python3-munkres
	63589.	English:		The Assignment Problem: Let C be an nxn matrix representing the costs of each of n workers to perform any of n jobs. The Assignment Problem is to assign jobs to workers in a way that minimizes the total cost.
				Description
Current French:				(no translation yet)
				Located in Package: python3-munkres
	63602.	English:		multivariate pattern analysis with Python
				Summary
Current French:				(no translation yet)
				Located in Package: python-mvpa
	63603.	English:		PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. 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).
				Description
Current French:				(no translation yet)
				Located in Package: python-mvpa
	63605.	English:		PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file
				Description
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Current French:				(no translation yet)
				Located in Package: python-mvpa-doc
	63608.	English:		multivariate pattern analysis with Python v. 2
				Summary
Current French:				(no translation yet)
				Located in Package: python-mvpa2
	63609.	English:		PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. 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, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun).
				Description
Current French:				(no translation yet)
				Located in Package: python-mvpa2
	63610.	English:		While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets.
				Description
Current French:				(no translation yet)
				Located in Package: python-mvpa2
	63613.	English:		This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks.
				Description
Current French:				(no translation yet)
				Located in Package: python-mvpa2-doc

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