News PyMVPA 2.4.0 documentation

Multivariate Pattern Analysis in Python. PyMVPA is a Python. Package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. It is designed to integrate well with related software packages, such as scikit-learn. PyMVPA stands for M. We welcome all kinds of contributions, and you do not need to be a programmer. How to cite PyMVPA.

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This domain dev.pymvpa.org currently has an average traffic classification of zero (the lower the more users). We have scanned thirteen pages within the domain dev.pymvpa.org and found two websites interfacing with dev.pymvpa.org. There is one mass communication sites belong to this website.
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PAGE TITLE

News PyMVPA 2.4.0 documentation

DESCRIPTION

Multivariate Pattern Analysis in Python. PyMVPA is a Python. Package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. It is designed to integrate well with related software packages, such as scikit-learn. PyMVPA stands for M. We welcome all kinds of contributions, and you do not need to be a programmer. How to cite PyMVPA.

CONTENT

This domain dev.pymvpa.org has the following in the web site, "Package intended to ease statistical learning analyses of large datasets." We analyzed that the website also stated " It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export." It also stated " It is designed to integrate well with related software packages, such as scikit-learn. We welcome all kinds of contributions, and you do not need to be a programmer." The header had mvpa as the highest ranking search term. It was followed by pymvpa, python, and classifier which isn't as ranked as highly as mvpa. The next words they used was machine learning. neuroscience was also included but will not be understood by search crawlers.

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