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  1. examples/miscellaneous/plot_johnson_lindenstrauss_bound.py

    The Johnson-Lindenstrauss bound for embedding with random projections
    =====================================================================
    
    
    The `Johnson-Lindenstrauss lemma`_ states that any high dimensional
    dataset can be randomly projected into a lower dimensional Euclidean
    space while controlling the distortion in the pairwise distances.
    
    .. _`Johnson-Lindenstrauss lemma`: https://en.wikipedia.org/wiki/\
    Python
    - Registered: 2021-07-30 09:24
    - Last Modified: 2020-08-26 08:07
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  2. doc/modules/random_projection.rst

       245-250.
    
    
    .. _johnson_lindenstrauss:
    
    The Johnson-Lindenstrauss lemma
    ===============================
    
    The main theoretical result behind the efficiency of random projection is the
    `Johnson-Lindenstrauss lemma (quoting Wikipedia)
    <https://en.wikipedia.org/wiki/Johnson%E2%80%93Lindenstrauss_lemma>`_:
    
      In mathematics, the Johnson-Lindenstrauss lemma is a result
    Plain Text
    - Registered: 2021-07-30 09:24
    - Last Modified: 2020-08-21 12:31
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  3. examples/preprocessing/plot_map_data_to_normal.py

    This example demonstrates the use of the Box-Cox and Yeo-Johnson transforms
    through :class:`~PowerTransformer` to map data from various
    distributions to a normal distribution.
    
    The power transform is useful as a transformation in modeling problems where
    homoscedasticity and normality are desired. Below are examples of Box-Cox and
    Yeo-Johnwon applied to six different probability distributions: Lognormal,
    Python
    - Registered: 2021-07-30 09:24
    - Last Modified: 2019-10-24 02:12
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  4. docs/_style/prism-master/tests/languages/asciidoc/attributes_feature.test

    [quote,'&#34;with *an* image&#34; image:foo.png[]...
    Plain Text
    - Registered: 2021-08-05 20:08
    - Last Modified: 2018-12-19 06:09
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  5. .mailmap

    Waldir Pimenta <******@****.***> <******@****.***>
    
    Steven G. Johnson <******@****.***> <******@****.***>
    Steven G. Johnson <******@****.***> <******@****.***>
    Steven G. Johnson <******@****.***> <******@****.***>
    Steven G. Johnson <******@****.***> <******@****.***>
    Steven G. Johnson <******@****.***> <******@****.***>
    
    Plain Text
    - Registered: 2021-08-02 02:21
    - Last Modified: 2021-07-31 12:57
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  6. docs/_style/prism-master/examples/prism-asciidoc.html

    ..........................
    Literal block
    No *highlighting* _here_
    ..........................
    
    **************************
    Sidebar block
    **************************
    
    [quote,'http://en.wikipedia.org/wiki/Samuel_Johnson[Samuel Johnson]']
    _____________________________________________________________________
    Sir, a woman's preaching is like a dog's walking on his hind legs. It
    is not done well; but you are surprised to find it done at all.
    HTML
    - Registered: 2021-08-05 20:08
    - Last Modified: 2018-12-19 06:09
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  7. spring-aop/src/main/java/org/aopalliance/aop/Advice.java

     */
    
    package org.aopalliance.aop;
    
    /**
     * Tag interface for Advice. Implementations can be any type
     * of advice, such as Interceptors.
     *
     * @author Rod Johnson
     * @version $Id: Advice.java,v 1.1 2004/03/19 17:02:16 johnsonr Exp $
     */
    public interface Advice {
    
    Java
    - Registered: 2021-08-03 18:42
    - Last Modified: 2019-03-22 04:49
    - 883 bytes
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  8. plugins/guests/darwin/guest.rb

    require "vagrant"
    
    module VagrantPlugins
      module GuestDarwin
        # A general Vagrant system implementation for OS X (ie. "Darwin").
        #
        # Contributed by: - Brian Johnson <******@****.***>
        #                 - Tim Sutton <******@****.***>
        class Guest < Vagrant.plugin("2", :guest)
          def detect?(machine)
            machine.communicate.test("uname -s | grep 'Darwin'")
          end
        end
      end
    Ruby
    - Registered: 2021-08-02 14:15
    - Last Modified: 2016-06-06 15:58
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  9. 3rdparty/openjpeg/THANKS.md

    * Rex Dieter
    * Herve Drolon
    * Antonin Descampe
    * Francois-Olivier Devaux
    * Parvatha Elangovan
    * JerĂ´me Fimes
    * Bob Friesenhahn
    * Kaori Hagihara
    * Luc Hermitte
    * Luis Ibanez
    * David Janssens
    * Hans Johnson
    * Callum Lerwick
    * Ke Liu (Tencent's Xuanwu LAB)
    * Sebastien Lugan
    * Benoit Macq
    * Mathieu Malaterre
    * Julien Malik
    * Arnaud Maye
    * Vincent Nicolas
    * Aleksander Nikolic (Cisco Talos)
    * Glenn Pearson
    Plain Text
    - Registered: 2021-07-30 05:16
    - Last Modified: 2020-09-02 20:17
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  10. examples/preprocessing/plot_all_scaling.py

            MaxAbsScaler().fit_transform(X)),
        ('Data after robust scaling',
            RobustScaler(quantile_range=(25, 75)).fit_transform(X)),
        ('Data after power transformation (Yeo-Johnson)',
         PowerTransformer(method='yeo-johnson').fit_transform(X)),
        ('Data after power transformation (Box-Cox)',
         PowerTransformer(method='box-cox').fit_transform(X)),
        ('Data after quantile transformation (uniform pdf)',
    Python
    - Registered: 2021-07-30 09:24
    - Last Modified: 2020-06-09 03:23
    - 13.4K bytes
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