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        "author": "Jim Crist",
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        "description": "dask-searchcv\n=============\n\n|Travis Status| |Doc Status| |Conda Badge| |PyPI Badge|\n\nTools for performing hyperparameter search with\n`Scikit-Learn <http://scikit-learn.org>`_ and `Dask <http://dask.pydata.org>`_.\n\nHighlights\n----------\n\n- Drop-in replacement for Scikit-Learn's ``GridSearchCV`` and\n  ``RandomizedSearchCV``.\n\n- Hyperparameter optimization can be done in parallel using threads, processes,\n  or distributed across a cluster.\n\n- Works well with Dask collections. Dask arrays, dataframes, and delayed can be\n  passed to ``fit``.\n\n- Candidate estimators with identical parameters and inputs will only be fit\n  once. For composite-estimators such as ``Pipeline`` this can be significantly\n  more efficient as it can avoid expensive repeated computations.\n\n\nFor more information, check out the `documentation <http://dask-searchcv.readthedocs.io>`_.\n\n\nInstall\n-------\n\nDask-searchcv is available via ``conda`` or ``pip``:\n\n::\n\n   # Install with conda\n   $ conda install dask-searchcv -c conda-forge\n\n   # Install with pip\n   $ pip install dask-searchcv\n\n\nExample\n-------\n\n.. code-block:: python\n\n    from sklearn.datasets import load_digits\n    from sklearn.svm import SVC\n    import dask_searchcv as dcv\n    import numpy as np\n\n    digits = load_digits()\n\n    param_space = {'C': np.logspace(-4, 4, 9),\n                   'gamma': np.logspace(-4, 4, 9),\n                   'class_weight': [None, 'balanced']}\n\n    model = SVC(kernel='rbf')\n    search = dcv.GridSearchCV(model, param_space, cv=3)\n\n    search.fit(digits.data, digits.target)\n\n\n.. |Travis Status| image:: https://travis-ci.org/dask/dask-searchcv.svg?branch=master\n   :target: https://travis-ci.org/dask/dask-searchcv\n.. |Doc Status| image:: http://readthedocs.org/projects/dask-searchcv/badge/?version=latest\n   :target: http://dask-searchcv.readthedocs.io/en/latest/index.html\n   :alt: Documentation Status\n.. |PyPI Badge| image:: https://img.shields.io/pypi/v/dask-searchcv.svg\n   :target: https://pypi.python.org/pypi/dask-searchcv\n.. |Conda Badge| image:: https://anaconda.org/conda-forge/dask-searchcv/badges/version.svg\n   :target: https://anaconda.org/conda-forge/dask-searchcv\n\n\n",
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