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3400134010 of 43444 results
63587.
munkres algorithm for the Assignment Problem - Python library
Summary
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Located in Package: python-munkres
63588.
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
(no translation yet)
Located in Package: python3-munkres Package: python-munkres
63589.
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
(no translation yet)
Located in Package: python3-munkres Package: python-munkres
63602.
multivariate pattern analysis with Python
Summary
(no translation yet)
Located in Package: python-mvpa
63603.
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
(no translation yet)
Located in Package: python-mvpa
63605.
PyMVPA documentation in various formats (HTML, TXT) including
* User manual
* Developer guidelines
* API documentation
* BibTeX references file
Description
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Located in Package: python-mvpa-doc
63608.
multivariate pattern analysis with Python v. 2
Summary
(no translation yet)
Located in Package: python-mvpa2
63609.
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
(no translation yet)
Located in Package: python-mvpa2
63610.
While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets.
Description
(no translation yet)
Located in Package: python-mvpa2 Package: python-mvpa
63613.
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
(no translation yet)
Located in Package: python-mvpa2-doc
3400134010 of 43444 results

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