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@@ -31,16 +31,17 @@ FastCan: A Fast Canonical-Correlation-Based Feature Selection Algorithm
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FastCan is a feature selection method, which has following advantages:
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#. Extremely **fast**. See :ref:`sphx_glr_auto_examples_plot_speed.py`.
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#. Extremely **fast**.
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#. Support unsupervised feature selection. See :ref:`Unsupervised feature selection <unsupervised>`.
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#. Support unsupervised feature selection.
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#. Support multioutput feature selection. See :ref:`Multioutput feature selection <multioutput>`.
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#. Support multioutput feature selection.
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#. Skip redundant features. See :ref:`Feature redundancy <redundancy>`.
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#. Skip redundant features.
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#. Evalaute relative usefulness of features. See :ref:`sphx_glr_auto_examples_plot_intuitive.py`.
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#. Evalaute relative usefulness of features.
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Check `Home Page <https://fastcan.readthedocs.io/en/latest/?badge=latest>`_ for more information.
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Installation
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------------
@@ -61,7 +62,6 @@ Getting Started
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>>> FastCan(verbose=0).fit(X, y).get_support()
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array([ True, False])
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Check :ref:`User Guild <user_guide>` and :ref:`Examples <examples>` in `Home Page <https://fastcan.readthedocs.io/en/latest/?badge=latest>`_ for more information.
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