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779 lines
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<div class="title">mlpack::regression::LogisticRegressionFunction< MatType > Class Template Reference</div> </div>
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<p>The log-likelihood function for the logistic regression objective function.
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<a href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#details">More...</a></p>
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<table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
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Public Member Functions</h2></td></tr>
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<tr class="memitem:a8f8a0ea4307d3f41dd4c2f864245eb12"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a8f8a0ea4307d3f41dd4c2f864245eb12">LogisticRegressionFunction</a> (const MatType &<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a0b1bd72084ee29066c58b2d8b0bf84ce">predictors</a>, const arma::Row< size_t > &<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#af7f264fee499538ed85c649f0485e944">responses</a>, const double <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a5058f00c39a8846b5193c5ff81f315e2">lambda</a>=0)</td></tr>
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<tr class="memitem:a721659982eacc9dce114278c6fdcb2a0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a721659982eacc9dce114278c6fdcb2a0">LogisticRegressionFunction</a> (const MatType &<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a0b1bd72084ee29066c58b2d8b0bf84ce">predictors</a>, const arma::Row< size_t > &<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#af7f264fee499538ed85c649f0485e944">responses</a>, const arma::vec &<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab436707b0b1bd1d08ad001238dbfd0bd">initialPoint</a>, const double <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a5058f00c39a8846b5193c5ff81f315e2">lambda</a>=0)</td></tr>
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<tr class="separator:a721659982eacc9dce114278c6fdcb2a0"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a200729c6e8d9f433f930b8880f79eef5"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a200729c6e8d9f433f930b8880f79eef5">Evaluate</a> (const arma::mat &parameters) const </td></tr>
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<tr class="memdesc:a200729c6e8d9f433f930b8880f79eef5"><td class="mdescLeft"> </td><td class="mdescRight">Evaluate the logistic regression log-likelihood function with the given parameters. <a href="#a200729c6e8d9f433f930b8880f79eef5">More...</a><br /></td></tr>
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<tr class="separator:a200729c6e8d9f433f930b8880f79eef5"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a2cdf90d1e37e0d43f175d373342cb5a1"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a2cdf90d1e37e0d43f175d373342cb5a1">Evaluate</a> (const arma::mat &parameters, const size_t i) const </td></tr>
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<tr class="memdesc:a2cdf90d1e37e0d43f175d373342cb5a1"><td class="mdescLeft"> </td><td class="mdescRight">Evaluate the logistic regression log-likelihood function with the given parameters, but using only one data point. <a href="#a2cdf90d1e37e0d43f175d373342cb5a1">More...</a><br /></td></tr>
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<tr class="separator:a2cdf90d1e37e0d43f175d373342cb5a1"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a5bd42c32840e753c1e59a9531356d710"><td class="memItemLeft" align="right" valign="top">const arma::mat & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a5bd42c32840e753c1e59a9531356d710">GetInitialPoint</a> () const </td></tr>
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<tr class="memdesc:a5bd42c32840e753c1e59a9531356d710"><td class="mdescLeft"> </td><td class="mdescRight">Return the initial point for the optimization. <a href="#a5bd42c32840e753c1e59a9531356d710">More...</a><br /></td></tr>
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<tr class="separator:a5bd42c32840e753c1e59a9531356d710"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:af03884eac1acde5bfcb583d61ea366a4"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#af03884eac1acde5bfcb583d61ea366a4">Gradient</a> (const arma::mat &parameters, arma::mat &gradient) const </td></tr>
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<tr class="memdesc:af03884eac1acde5bfcb583d61ea366a4"><td class="mdescLeft"> </td><td class="mdescRight">Evaluate the gradient of the logistic regression log-likelihood function with the given parameters. <a href="#af03884eac1acde5bfcb583d61ea366a4">More...</a><br /></td></tr>
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<tr class="separator:af03884eac1acde5bfcb583d61ea366a4"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac061b42b43741296343c6ea2abd5b292"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ac061b42b43741296343c6ea2abd5b292">Gradient</a> (const arma::mat &parameters, const size_t i, arma::mat &gradient) const </td></tr>
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<tr class="memdesc:ac061b42b43741296343c6ea2abd5b292"><td class="mdescLeft"> </td><td class="mdescRight">Evaluate the gradient of the logistic regression log-likelihood function with the given parameters, and with respect to only one point in the dataset. <a href="#ac061b42b43741296343c6ea2abd5b292">More...</a><br /></td></tr>
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<tr class="separator:ac061b42b43741296343c6ea2abd5b292"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a71c8ab5910f1b3d9d79d2606401a73af"><td class="memItemLeft" align="right" valign="top">const arma::mat & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a71c8ab5910f1b3d9d79d2606401a73af">InitialPoint</a> () const </td></tr>
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<tr class="memdesc:a71c8ab5910f1b3d9d79d2606401a73af"><td class="mdescLeft"> </td><td class="mdescRight">Return the initial point for the optimization. <a href="#a71c8ab5910f1b3d9d79d2606401a73af">More...</a><br /></td></tr>
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<tr class="separator:a71c8ab5910f1b3d9d79d2606401a73af"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a348c31d2a43ee5f5243ecb1693a09ab5"><td class="memItemLeft" align="right" valign="top">arma::mat & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a348c31d2a43ee5f5243ecb1693a09ab5">InitialPoint</a> ()</td></tr>
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<tr class="memdesc:a348c31d2a43ee5f5243ecb1693a09ab5"><td class="mdescLeft"> </td><td class="mdescRight">Modify the initial point for the optimization. <a href="#a348c31d2a43ee5f5243ecb1693a09ab5">More...</a><br /></td></tr>
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<tr class="separator:a348c31d2a43ee5f5243ecb1693a09ab5"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ab142fc11fc0baa2f9137186009ece105"><td class="memItemLeft" align="right" valign="top">const double & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab142fc11fc0baa2f9137186009ece105">Lambda</a> () const </td></tr>
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<tr class="memdesc:ab142fc11fc0baa2f9137186009ece105"><td class="mdescLeft"> </td><td class="mdescRight">Return the regularization parameter (lambda). <a href="#ab142fc11fc0baa2f9137186009ece105">More...</a><br /></td></tr>
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<tr class="separator:ab142fc11fc0baa2f9137186009ece105"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac79ecd4c714030022b855822d3797e88"><td class="memItemLeft" align="right" valign="top">double & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ac79ecd4c714030022b855822d3797e88">Lambda</a> ()</td></tr>
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<tr class="memdesc:ac79ecd4c714030022b855822d3797e88"><td class="mdescLeft"> </td><td class="mdescRight">Modify the regularization parameter (lambda). <a href="#ac79ecd4c714030022b855822d3797e88">More...</a><br /></td></tr>
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<tr class="separator:ac79ecd4c714030022b855822d3797e88"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac0d0ff92d64b228e873ff5f78cbc50c8"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ac0d0ff92d64b228e873ff5f78cbc50c8">NumFunctions</a> () const </td></tr>
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<tr class="memdesc:ac0d0ff92d64b228e873ff5f78cbc50c8"><td class="mdescLeft"> </td><td class="mdescRight">Return the number of separable functions (the number of predictor points). <a href="#ac0d0ff92d64b228e873ff5f78cbc50c8">More...</a><br /></td></tr>
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<tr class="separator:ac0d0ff92d64b228e873ff5f78cbc50c8"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ab58c04750d406c3f3e3de5d8b3e65f7f"><td class="memItemLeft" align="right" valign="top">const MatType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab58c04750d406c3f3e3de5d8b3e65f7f">Predictors</a> () const </td></tr>
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<tr class="memdesc:ab58c04750d406c3f3e3de5d8b3e65f7f"><td class="mdescLeft"> </td><td class="mdescRight">Return the matrix of predictors. <a href="#ab58c04750d406c3f3e3de5d8b3e65f7f">More...</a><br /></td></tr>
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<tr class="separator:ab58c04750d406c3f3e3de5d8b3e65f7f"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a0331f1eb0524c8baca3e6ce7f8af8ed0"><td class="memItemLeft" align="right" valign="top">const arma::vec & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a0331f1eb0524c8baca3e6ce7f8af8ed0">Responses</a> () const </td></tr>
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<tr class="memdesc:a0331f1eb0524c8baca3e6ce7f8af8ed0"><td class="mdescLeft"> </td><td class="mdescRight">Return the vector of responses. <a href="#a0331f1eb0524c8baca3e6ce7f8af8ed0">More...</a><br /></td></tr>
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<tr class="separator:a0331f1eb0524c8baca3e6ce7f8af8ed0"><td class="memSeparator" colspan="2"> </td></tr>
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</table><table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-attribs"></a>
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Private Attributes</h2></td></tr>
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<tr class="memitem:ab436707b0b1bd1d08ad001238dbfd0bd"><td class="memItemLeft" align="right" valign="top">arma::mat </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab436707b0b1bd1d08ad001238dbfd0bd">initialPoint</a></td></tr>
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<tr class="memdesc:ab436707b0b1bd1d08ad001238dbfd0bd"><td class="mdescLeft"> </td><td class="mdescRight">The initial point, from which to start the optimization. <a href="#ab436707b0b1bd1d08ad001238dbfd0bd">More...</a><br /></td></tr>
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<tr class="separator:ab436707b0b1bd1d08ad001238dbfd0bd"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a5058f00c39a8846b5193c5ff81f315e2"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a5058f00c39a8846b5193c5ff81f315e2">lambda</a></td></tr>
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<tr class="memdesc:a5058f00c39a8846b5193c5ff81f315e2"><td class="mdescLeft"> </td><td class="mdescRight">The regularization parameter for L2-regularization. <a href="#a5058f00c39a8846b5193c5ff81f315e2">More...</a><br /></td></tr>
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<tr class="separator:a5058f00c39a8846b5193c5ff81f315e2"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a0b1bd72084ee29066c58b2d8b0bf84ce"><td class="memItemLeft" align="right" valign="top">const MatType & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a0b1bd72084ee29066c58b2d8b0bf84ce">predictors</a></td></tr>
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<tr class="memdesc:a0b1bd72084ee29066c58b2d8b0bf84ce"><td class="mdescLeft"> </td><td class="mdescRight">The matrix of data points (predictors). <a href="#a0b1bd72084ee29066c58b2d8b0bf84ce">More...</a><br /></td></tr>
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<tr class="separator:a0b1bd72084ee29066c58b2d8b0bf84ce"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:af7f264fee499538ed85c649f0485e944"><td class="memItemLeft" align="right" valign="top">const arma::Row< size_t > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#af7f264fee499538ed85c649f0485e944">responses</a></td></tr>
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<tr class="memdesc:af7f264fee499538ed85c649f0485e944"><td class="mdescLeft"> </td><td class="mdescRight">The vector of responses to the input data points. <a href="#af7f264fee499538ed85c649f0485e944">More...</a><br /></td></tr>
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</table>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
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<div class="textblock"><h3>template<typename MatType = arma::mat><br />
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class mlpack::regression::LogisticRegressionFunction< MatType ></h3>
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<p>The log-likelihood function for the logistic regression objective function. </p>
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<p>This is used by various mlpack optimizers to train a logistic regression model. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00028">28</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
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<div class="memtemplate">
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template<typename MatType = arma::mat> </div>
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<td class="memname"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">LogisticRegressionFunction</a> </td>
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<td>(</td>
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<td class="paramtype">const MatType & </td>
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<td class="paramtype">const arma::Row< size_t > & </td>
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<td class="paramname"><em>responses</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const double </td>
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<td class="paramname"><em>lambda</em> = <code>0</code> </td>
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<td>)</td>
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template<typename MatType = arma::mat> </div>
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<td class="memname"><a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::<a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">LogisticRegressionFunction</a> </td>
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<td>(</td>
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<td class="paramtype">const MatType & </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">const arma::Row< size_t > & </td>
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<td class="paramname"><em>responses</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const arma::vec & </td>
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<td class="paramname"><em>initialPoint</em>, </td>
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<h2 class="groupheader">Member Function Documentation</h2>
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<a class="anchor" id="a200729c6e8d9f433f930b8880f79eef5"></a>
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template<typename MatType = arma::mat> </div>
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<td class="memname">double <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Evaluate </td>
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<td>(</td>
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<td class="paramtype">const arma::mat & </td>
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<td> const</td>
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<p>Evaluate the logistic regression log-likelihood function with the given parameters. </p>
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<p>Note that if a point has 0 probability of being classified directly with the given parameters, then <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a200729c6e8d9f433f930b8880f79eef5" title="Evaluate the logistic regression log-likelihood function with the given parameters. ">Evaluate()</a> will return nan (this is kind of a corner case and should not happen for reasonable models).</p>
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<p>The optimum (minimum) of this function is 0.0, and occurs when each point is classified correctly with very high probability.</p>
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramname">parameters</td><td>Vector of logistic regression parameters. </td></tr>
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</table>
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</dd>
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</dl>
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<p>Referenced by <a class="el" href="logistic__regression__function_8hpp_source.html#l00053">mlpack::regression::LogisticRegressionFunction< MatType >::Responses()</a>.</p>
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<td class="memname">double <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Evaluate </td>
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<td>(</td>
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<td class="paramtype">const arma::mat & </td>
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<td class="paramname"><em>parameters</em>, </td>
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<td></td>
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<td>)</td>
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<td></td><td> const</td>
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<p>Evaluate the logistic regression log-likelihood function with the given parameters, but using only one data point. </p>
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<p>This is useful for optimizers such as SGD, which require a separable objective function. Note that if the point has 0 probability of being classified correctly with the given parameters, then <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a200729c6e8d9f433f930b8880f79eef5" title="Evaluate the logistic regression log-likelihood function with the given parameters. ">Evaluate()</a> will return nan (this is kind of a corner case and should not happen for reasonable models).</p>
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<p>The optimum (minimum) of this function is 0.0, and occurs when the point is classified correctly with very high probability.</p>
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramname">parameters</td><td>Vector of logistic regression parameters. </td></tr>
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<tr><td class="paramname">i</td><td>Index of point to use for objective function evaluation. </td></tr>
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</table>
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</dd>
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</dl>
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<td class="memname">const arma::mat& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::GetInitialPoint </td>
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<td>(</td>
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<td class="paramname"></td><td>)</td>
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<td> const</td>
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<span class="mlabels"><span class="mlabel">inline</span></span> </td>
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<p>Return the initial point for the optimization. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00108">108</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="logistic__regression__function_8hpp_source.html#l00115">mlpack::regression::LogisticRegressionFunction< MatType >::initialPoint</a>.</p>
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<td class="memname">void <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Gradient </td>
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<td>(</td>
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<td class="paramtype">const arma::mat & </td>
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<td class="paramname"><em>parameters</em>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">arma::mat & </td>
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<td class="paramname"><em>gradient</em> </td>
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<td></td>
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<td>)</td>
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<p>Evaluate the gradient of the logistic regression log-likelihood function with the given parameters. </p>
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<dl class="params"><dt>Parameters</dt><dd>
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<table class="params">
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<tr><td class="paramname">parameters</td><td>Vector of logistic regression parameters. </td></tr>
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<tr><td class="paramname">gradient</td><td>Vector to output gradient into. </td></tr>
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<p>Referenced by <a class="el" href="logistic__regression__function_8hpp_source.html#l00053">mlpack::regression::LogisticRegressionFunction< MatType >::Responses()</a>.</p>
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<td class="memname">void <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Gradient </td>
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<td>(</td>
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<td class="paramtype">const arma::mat & </td>
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<td class="paramname"><em>parameters</em>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">const size_t </td>
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<td class="paramname"><em>i</em>, </td>
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<td class="paramkey"></td>
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<td></td>
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<td class="paramtype">arma::mat & </td>
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<td class="paramname"><em>gradient</em> </td>
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<tr>
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<td></td>
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<td>)</td>
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<td></td><td> const</td>
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<p>Evaluate the gradient of the logistic regression log-likelihood function with the given parameters, and with respect to only one point in the dataset. </p>
|
|
<p>This is useful for optimizers such as SGD, which require a separable objective function.</p>
|
|
<dl class="params"><dt>Parameters</dt><dd>
|
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<table class="params">
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<tr><td class="paramname">parameters</td><td>Vector of logistic regression parameters. </td></tr>
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<tr><td class="paramname">i</td><td>Index of points to use for objective function gradient evaluation. </td></tr>
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<tr><td class="paramname">gradient</td><td>Vector to output gradient into. </td></tr>
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<td class="memname">const arma::mat& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::InitialPoint </td>
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<td>(</td>
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<td class="paramname"></td><td>)</td>
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<td> const</td>
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<p>Return the initial point for the optimization. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00041">41</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="logistic__regression__function_8hpp_source.html#l00115">mlpack::regression::LogisticRegressionFunction< MatType >::initialPoint</a>.</p>
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<td class="memname">arma::mat& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::InitialPoint </td>
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<td>(</td>
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<td class="paramname"></td><td>)</td>
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<td></td>
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<p>Modify the initial point for the optimization. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00043">43</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="logistic__regression__function_8hpp_source.html#l00115">mlpack::regression::LogisticRegressionFunction< MatType >::initialPoint</a>.</p>
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<td class="memname">const double& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Lambda </td>
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<td>(</td>
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<td class="paramname"></td><td>)</td>
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<p>Return the regularization parameter (lambda). </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00046">46</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="logistic__regression__function_8hpp_source.html#l00121">mlpack::regression::LogisticRegressionFunction< MatType >::lambda</a>.</p>
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<p>Modify the regularization parameter (lambda). </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00048">48</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="logistic__regression__function_8hpp_source.html#l00121">mlpack::regression::LogisticRegressionFunction< MatType >::lambda</a>.</p>
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<td class="memname">size_t <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::NumFunctions </td>
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<td>(</td>
|
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<td class="paramname"></td><td>)</td>
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<td> const</td>
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<p>Return the number of separable functions (the number of predictor points). </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00111">111</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<td class="memname">const MatType& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Predictors </td>
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<p>Return the matrix of predictors. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00051">51</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="logistic__regression__function_8hpp_source.html#l00117">mlpack::regression::LogisticRegressionFunction< MatType >::predictors</a>.</p>
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<td class="memname">const arma::vec& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::Responses </td>
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<p>Return the vector of responses. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00053">53</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>References <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a200729c6e8d9f433f930b8880f79eef5">mlpack::regression::LogisticRegressionFunction< MatType >::Evaluate()</a>, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#af03884eac1acde5bfcb583d61ea366a4">mlpack::regression::LogisticRegressionFunction< MatType >::Gradient()</a>, and <a class="el" href="logistic__regression__function_8hpp_source.html#l00119">mlpack::regression::LogisticRegressionFunction< MatType >::responses</a>.</p>
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<h2 class="groupheader">Member Data Documentation</h2>
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<td class="memname">arma::mat <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::initialPoint</td>
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<p>The initial point, from which to start the optimization. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00115">115</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="logistic__regression__function_8hpp_source.html#l00108">mlpack::regression::LogisticRegressionFunction< MatType >::GetInitialPoint()</a>, and <a class="el" href="logistic__regression__function_8hpp_source.html#l00041">mlpack::regression::LogisticRegressionFunction< MatType >::InitialPoint()</a>.</p>
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<td class="memname">double <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::lambda</td>
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<p>The regularization parameter for L2-regularization. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00121">121</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="logistic__regression__function_8hpp_source.html#l00046">mlpack::regression::LogisticRegressionFunction< MatType >::Lambda()</a>.</p>
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<td class="memname">const MatType& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::predictors</td>
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<p>The matrix of data points (predictors). </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00117">117</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="logistic__regression__function_8hpp_source.html#l00051">mlpack::regression::LogisticRegressionFunction< MatType >::Predictors()</a>.</p>
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<td class="memname">const arma::Row<size_t>& <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html">mlpack::regression::LogisticRegressionFunction</a>< MatType >::responses</td>
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<p>The vector of responses to the input data points. </p>
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<p>Definition at line <a class="el" href="logistic__regression__function_8hpp_source.html#l00119">119</a> of file <a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="logistic__regression__function_8hpp_source.html#l00053">mlpack::regression::LogisticRegressionFunction< MatType >::Responses()</a>.</p>
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<hr/>The documentation for this class was generated from the following file:<ul>
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<li>src/mlpack/methods/logistic_regression/<a class="el" href="logistic__regression__function_8hpp_source.html">logistic_regression_function.hpp</a></li>
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