Update with log regression
This commit is contained in:
mhjensen
@@ -194,32 +194,46 @@ Automatically generated HTML file from DocOnce source
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'___sec77'),
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('Resampling methods: Jackknife', 2, None, '___sec78'),
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('Resampling methods: Jackknife estimator', 2, None, '___sec79'),
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('Resampling methods: Jackknife sample code',
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2,
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None,
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'___sec80'),
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('Resampling methods: Bootstrap', 2, None, '___sec81'),
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('Resampling methods: Bootstrap background', 2, None, '___sec82'),
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('Resampling methods: Bootstrap', 2, None, '___sec80'),
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('Resampling methods: Bootstrap background', 2, None, '___sec81'),
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('Resampling methods: More Bootstrap background',
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2,
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None,
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'___sec83'),
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('Resampling methods: Bootstrap approach', 2, None, '___sec84'),
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('Resampling methods: Bootstrap algorithm', 2, None, '___sec85'),
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('Resampling methods: Bootstrap steps', 2, None, '___sec86'),
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('Resampling methods: Blocking', 2, None, '___sec87'),
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('Blocking Transformations', 2, None, '___sec88'),
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('Blocking Transformations', 2, None, '___sec89'),
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('Blocking Transformations, getting there', 2, None, '___sec90'),
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'___sec82'),
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('Resampling methods: Bootstrap approach', 2, None, '___sec83'),
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('Resampling methods: Bootstrap steps', 2, None, '___sec84'),
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('Resampling methods: Blocking', 2, None, '___sec85'),
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('Blocking Transformations', 2, None, '___sec86'),
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('Blocking Transformations', 2, None, '___sec87'),
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('Blocking Transformations, getting there', 2, None, '___sec88'),
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('Blocking Transformations, final expressions',
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2,
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None,
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'___sec91'),
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'___sec89'),
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('"Code examples for Blocking, Jackknife and '
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'bootstrap":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Programs/ResamplingAnalysisScripts"',
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2,
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None,
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'___sec92')]}
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'___sec90'),
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('The bias-variance tradeoff', 2, None, '___sec91'),
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('Training and testing data', 2, None, '___sec92'),
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('Procedure to find a predictor', 2, None, '___sec93'),
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('What we want', 2, None, '___sec94'),
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('The expected generalization error', 2, None, '___sec95'),
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('Elaborating a little bit more', 2, None, '___sec96'),
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('The bias', 2, None, '___sec97'),
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('The variance', 2, None, '___sec98'),
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('Summing up', 2, None, '___sec99'),
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('Logistic Regression', 2, None, '___sec100'),
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('Basics', 2, None, '___sec101'),
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('Linear classifier', 2, None, '___sec102'),
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('Some selected properties', 2, None, '___sec103'),
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('The cross-entropy as a cost function for logistic regression',
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2,
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None,
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'___sec104'),
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('Maximum likelihood', 2, None, '___sec105'),
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('Minimizing the cross entropy', 2, None, '___sec106')]}
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end of tocinfo -->
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<body>
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@@ -337,19 +351,33 @@ MathJax.Hub.Config({
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<!-- navigation toc: --> <li><a href="._Regression-bs078.html#___sec77" style="font-size: 80%;">Resampling methods: Jackknife and Bootstrap</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs079.html#___sec78" style="font-size: 80%;">Resampling methods: Jackknife</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs080.html#___sec79" style="font-size: 80%;">Resampling methods: Jackknife estimator</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs081.html#___sec80" style="font-size: 80%;">Resampling methods: Jackknife sample code</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs082.html#___sec81" style="font-size: 80%;">Resampling methods: Bootstrap</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs083.html#___sec82" style="font-size: 80%;">Resampling methods: Bootstrap background</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs084.html#___sec83" style="font-size: 80%;">Resampling methods: More Bootstrap background</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs085.html#___sec84" style="font-size: 80%;">Resampling methods: Bootstrap approach</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs086.html#___sec85" style="font-size: 80%;">Resampling methods: Bootstrap algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs087.html#___sec86" style="font-size: 80%;">Resampling methods: Bootstrap steps</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs088.html#___sec87" style="font-size: 80%;">Resampling methods: Blocking</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs089.html#___sec88" style="font-size: 80%;">Blocking Transformations</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs090.html#___sec89" style="font-size: 80%;">Blocking Transformations</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs091.html#___sec90" style="font-size: 80%;">Blocking Transformations, getting there</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs092.html#___sec91" style="font-size: 80%;">Blocking Transformations, final expressions</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs093.html#___sec92" style="font-size: 80%;">"Code examples for Blocking, Jackknife and bootstrap":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Programs/ResamplingAnalysisScripts"</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs081.html#___sec80" style="font-size: 80%;">Resampling methods: Bootstrap</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs082.html#___sec81" style="font-size: 80%;">Resampling methods: Bootstrap background</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs083.html#___sec82" style="font-size: 80%;">Resampling methods: More Bootstrap background</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs084.html#___sec83" style="font-size: 80%;">Resampling methods: Bootstrap approach</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs085.html#___sec84" style="font-size: 80%;">Resampling methods: Bootstrap steps</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs086.html#___sec85" style="font-size: 80%;">Resampling methods: Blocking</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs087.html#___sec86" style="font-size: 80%;">Blocking Transformations</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs088.html#___sec87" style="font-size: 80%;">Blocking Transformations</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs089.html#___sec88" style="font-size: 80%;">Blocking Transformations, getting there</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs090.html#___sec89" style="font-size: 80%;">Blocking Transformations, final expressions</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs091.html#___sec90" style="font-size: 80%;">"Code examples for Blocking, Jackknife and bootstrap":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Programs/ResamplingAnalysisScripts"</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs092.html#___sec91" style="font-size: 80%;">The bias-variance tradeoff</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs093.html#___sec92" style="font-size: 80%;">Training and testing data</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs094.html#___sec93" style="font-size: 80%;">Procedure to find a predictor</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs095.html#___sec94" style="font-size: 80%;">What we want</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs096.html#___sec95" style="font-size: 80%;">The expected generalization error</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs097.html#___sec96" style="font-size: 80%;">Elaborating a little bit more</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs098.html#___sec97" style="font-size: 80%;">The bias</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs099.html#___sec98" style="font-size: 80%;">The variance</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs100.html#___sec99" style="font-size: 80%;">Summing up</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs101.html#___sec100" style="font-size: 80%;">Logistic Regression</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs102.html#___sec101" style="font-size: 80%;">Basics</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs103.html#___sec102" style="font-size: 80%;">Linear classifier</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs104.html#___sec103" style="font-size: 80%;">Some selected properties</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs105.html#___sec104" style="font-size: 80%;">The cross-entropy as a cost function for logistic regression</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs106.html#___sec105" style="font-size: 80%;">Maximum likelihood</a></li>
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<!-- navigation toc: --> <li><a href="._Regression-bs108.html#___sec106" style="font-size: 80%;">Minimizing the cross entropy</a></li>
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</ul>
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</li>
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@@ -418,7 +446,7 @@ measurements. For uncorrelated measurements this second term is zero.
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<li><a href="._Regression-bs075.html">76</a></li>
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<li><a href="._Regression-bs076.html">77</a></li>
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<li><a href="">...</a></li>
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<li><a href="._Regression-bs093.html">94</a></li>
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<li><a href="._Regression-bs108.html">109</a></li>
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<li><a href="._Regression-bs068.html">»</a></li>
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</ul>
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<!-- ------------------- end of main content --------------- -->
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