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Check the changelog below for more details.\n\nOlder news\n----------\n\n-  ``neuropredict`` can handle missing data now (that are encoded with\n   ``numpy.NaN``). This is done respecting the cross-validation splits\n   without any data leakage.\n\nOverview\n--------\n\nOn a high level,\n\n.. image:: docs/high_level_flow.png\n   :alt: roleofneuropredict\n\n\nOn a more detailed level,\n\n.. image:: docs/role.png\n   :alt: roleofneuropredict\n\n-  Docs: https://raamana.github.io/neuropredict/\n-  Contributors most welcome: `check ideas \u003cCONTRIBUTING.md\u003e`__ and the following\n   `guidelines \u003chttp://contribution-guide-org.readthedocs.io\u003e`__.\n   Thanks.\n\nLong term goals\n---------------\n\nneuropredict, the tool, is part of a broader initiative described below\nto develop easy, comprehensive and standardized predictive analysis:\n\n.. image:: docs/neuropredict_long_term_goals.jpg\n   :alt: longtermgoals\n\nCitation\n--------\n\nIf ``neuropredict`` helped you in your research in one way or another,\nplease consider citing one or more of the following, which were\nessential building blocks of neuropredict: \n\n - Pradeep Reddy Raamana. (2017). neuropredict: easy machine learning and standardized predictive analysis of biomarkers (Version 0.4.5). Zenodo. http://doi.org/10.5281/zenodo.1058993 \n - Raamana et al, (2017), Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity, Journal of Open Source Software, 2(17), 382, doi:10.21105/joss.00382\n\nChange Log - version 0.6\n--------------------------\n- Major feature: Ability to predict continuous variables (regression)\n- Major feature: Ability to handle confounds (regress them out, augmenting etc)\n- Redesigned the internal structure for easier extensibility\n- New ``CVResults`` class for easier management of a wealth of outputs generated in the Classification and Regression workflows\n- API access is refreshed and easier\n\nChange Log - version 0.5.2\n--------------------------\n\n-  Imputation of missing values\n-  Additional classifiers such as ``XGBoost``, Decision Trees\n-  Better internal code structure\n-  Lot more tests\n-  More precise tests, as we vary number of classes wildly in test\n   suites\n-  several bug fixes and enhancements\n-  More cmd line options such as ``--print_options`` from a previous run\n\n.. |logo| image:: docs/logo_neuropredict.png\n.. |travis| image:: https://travis-ci.org/raamana/neuropredict.svg?branch=master\n   :target: https://travis-ci.org/raamana/neuropredict.svg?branch=master\n.. |Code Health| image:: https://landscape.io/github/raamana/neuropredict/master/landscape.svg?style=flat\n   :target: https://landscape.io/github/raamana/neuropredict/master\n.. |Codacy Badge| image:: https://api.codacy.com/project/badge/Grade/501e560b8a424562a1b8f7cd2f3cadfe\n   :target: https://www.codacy.com/app/raamana/neuropredict?utm_source=github.com\u0026utm_medium=referral\u0026utm_content=raamana/neuropredict\u0026utm_campaign=Badge_Grade\n.. |PyPI version| image:: https://badge.fury.io/py/neuropredict.svg\n   :target: https://badge.fury.io/py/neuropredict\n.. |Python versions| image:: https://img.shields.io/badge/python-3.5%2C%203.6-blue.svg\n.. |saythanks| image:: https://img.shields.io/badge/say-thanks-ff69b4.svg\n   :target: https://saythanks.io/to/raamana\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraamana%2Fneuropredict","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraamana%2Fneuropredict","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraamana%2Fneuropredict/lists"}