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Analyzed 3 months ago. based on code collected 11 months ago.

Project Summary

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, Ridge Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets.

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analysis classifiers data_mining development education framework library machine_learning neuroscience pattern_recognition python research science

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Python
94%
7 Other
6%

30 Day Summary

Apr 27 2018 — May 27 2018

12 Month Summary

May 27 2017 — May 27 2018