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65<h1>mog_diag.h</h1><a href="mog__diag_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001
66<a name="l00029"></a>00029 <span class="preprocessor">#ifndef MOG_DIAG_H</span>
67<a name="l00030"></a>00030 <span class="preprocessor"></span><span class="preprocessor">#define MOG_DIAG_H</span>
68<a name="l00031"></a>00031 <span class="preprocessor"></span>
69<a name="l00032"></a>00032 <span class="preprocessor">#include &lt;<a class="code" href="mog__generic_8h.html" title="Generic Mixture of Gaussians (MOG) class - header file.">itpp/stat/mog_generic.h</a>&gt;</span>
70<a name="l00033"></a>00033
71<a name="l00034"></a>00034
72<a name="l00035"></a>00035 <span class="keyword">namespace </span>itpp
73<a name="l00036"></a>00036 {
74<a name="l00037"></a>00037
75<a name="l00054"></a><a class="code" href="classitpp_1_1MOG__diag.html">00054</a> <span class="keyword">class </span><a class="code" href="classitpp_1_1MOG__diag.html" title="Diagonal Mixture of Gaussians (MOG) class.">MOG_diag</a> : <span class="keyword">public</span> <a class="code" href="classitpp_1_1MOG__generic.html" title="Generic Mixture of Gaussians (MOG) class. Used as a base for other MOG classes.">MOG_generic</a>
76<a name="l00055"></a>00055 {
77<a name="l00056"></a>00056
78<a name="l00057"></a>00057 <span class="keyword">public</span>:
79<a name="l00058"></a>00058
80<a name="l00064"></a><a class="code" href="classitpp_1_1MOG__diag.html#1482b9cf97d70dec7d464397abfb746c">00064</a>   <a class="code" href="classitpp_1_1MOG__diag.html#1482b9cf97d70dec7d464397abfb746c" title="Default constructor.">MOG_diag</a>() { <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__generic.html#331210d0a4ebfbab47d1ba64c8033879" title="Initialise the model to be empty.">init</a>(); }
81<a name="l00065"></a>00065
82<a name="l00069"></a><a class="code" href="classitpp_1_1MOG__diag.html#8938e294ab0280484dffd7d1e969ccff">00069</a>   <a class="code" href="classitpp_1_1MOG__diag.html#8938e294ab0280484dffd7d1e969ccff" title="Construct the MOG_diag object by loading the parameters from a model file.">MOG_diag</a>(<span class="keyword">const</span> std::string &amp;name) { <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__diag.html#655176beb0593c93853c25cbe889ab4d" title="Initialise the model by loading the parameters from a model file.">load</a>(name); }
83<a name="l00070"></a>00070
84<a name="l00076"></a><a class="code" href="classitpp_1_1MOG__diag.html#d7c6aa327b506c130059ca32d4cf4118">00076</a>   <a class="code" href="classitpp_1_1MOG__diag.html#d7c6aa327b506c130059ca32d4cf4118" title="construct a default model (all Gaussians have zero mean and unit variance for all...">MOG_diag</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> &amp;K_in, <span class="keyword">const</span> <span class="keywordtype">int</span> &amp;D_in, <span class="keywordtype">bool</span> full_in = <span class="keyword">false</span>) { <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__generic.html#331210d0a4ebfbab47d1ba64c8033879" title="Initialise the model to be empty.">init</a>(K_in, D_in, full_in); }
85<a name="l00077"></a>00077
86<a name="l00084"></a><a class="code" href="classitpp_1_1MOG__diag.html#4a01243572dc4dd3d599ce2c6a6b2b11">00084</a>   <a class="code" href="classitpp_1_1MOG__diag.html#4a01243572dc4dd3d599ce2c6a6b2b11" title="Construct a model using user supplied mean vectors.">MOG_diag</a>(<a class="code" href="classitpp_1_1Array.html">Array&lt;vec&gt;</a> &amp;means_in, <span class="keywordtype">bool</span>) { <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__generic.html#331210d0a4ebfbab47d1ba64c8033879" title="Initialise the model to be empty.">init</a>(means_in, <span class="keyword">false</span>);  }
87<a name="l00085"></a>00085
88<a name="l00092"></a><a class="code" href="classitpp_1_1MOG__diag.html#0dc932131e6b3ce94b3f5d7ff50b5019">00092</a>   <a class="code" href="classitpp_1_1MOG__diag.html#0dc932131e6b3ce94b3f5d7ff50b5019" title="Construct a model using user supplied parameters (diagonal covariance version).">MOG_diag</a>(<a class="code" href="classitpp_1_1Array.html">Array&lt;vec&gt;</a> &amp;means_in, <a class="code" href="classitpp_1_1Array.html">Array&lt;vec&gt;</a> &amp;diag_covs_in, vec &amp;weights_in) { <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__generic.html#331210d0a4ebfbab47d1ba64c8033879" title="Initialise the model to be empty.">init</a>(means_in, diag_covs_in, weights_in); }
89<a name="l00093"></a>00093
90<a name="l00101"></a><a class="code" href="classitpp_1_1MOG__diag.html#09da7ec63d9d025d452369a6f7b6e48d">00101</a>   <a class="code" href="classitpp_1_1MOG__diag.html#09da7ec63d9d025d452369a6f7b6e48d" title="Construct a model using user supplied parameters (full covariance version).">MOG_diag</a>(<a class="code" href="classitpp_1_1Array.html">Array&lt;vec&gt;</a> &amp;means_in, <a class="code" href="classitpp_1_1Array.html">Array&lt;mat&gt;</a> &amp;full_covs_in, vec &amp;weights_in) { <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__generic.html#331210d0a4ebfbab47d1ba64c8033879" title="Initialise the model to be empty.">init</a>(means_in, full_covs_in, weights_in); <a class="code" href="classitpp_1_1MOG__generic.html#3bf2b05e3069a3d0082e372dc455bd9d" title="Convert the model to use diagonal covariances.">convert_to_diag</a>(); }
91<a name="l00102"></a>00102
92<a name="l00104"></a><a class="code" href="classitpp_1_1MOG__diag.html#0819b23dfbee0451223fbc21ad20fa02">00104</a>   <a class="code" href="classitpp_1_1MOG__diag.html#0819b23dfbee0451223fbc21ad20fa02" title="Default destructor.">~MOG_diag</a>() { <a class="code" href="classitpp_1_1MOG__diag.html#d22e7816dfb21d6e557d9ab3285f6a82" title="Release memory used by the model. The model will be empty.">cleanup</a>(); }
93<a name="l00105"></a>00105
94<a name="l00110"></a><a class="code" href="classitpp_1_1MOG__diag.html#d22e7816dfb21d6e557d9ab3285f6a82">00110</a>   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#d22e7816dfb21d6e557d9ab3285f6a82" title="Release memory used by the model. The model will be empty.">cleanup</a>() { <a class="code" href="classitpp_1_1MOG__diag.html#de7b331ff27b48d5cc1545466b201236" title="ADD DOCUMENTATION HERE.">free_all_ptrs</a>(); <a class="code" href="classitpp_1_1MOG__diag.html#d22e7816dfb21d6e557d9ab3285f6a82" title="Release memory used by the model. The model will be empty.">MOG_generic::cleanup</a>(); }
95<a name="l00111"></a>00111
96<a name="l00117"></a>00117   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#655176beb0593c93853c25cbe889ab4d" title="Initialise the model by loading the parameters from a model file.">load</a>(<span class="keyword">const</span> std::string &amp;name_in);
97<a name="l00118"></a>00118
98<a name="l00120"></a><a class="code" href="classitpp_1_1MOG__diag.html#8d9e508bc4d26eee3c198748ea78530a">00120</a>   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#8d9e508bc4d26eee3c198748ea78530a" title="Do nothing. Present for compatability with the MOG_generic class.">convert_to_full</a>() {};
99<a name="l00121"></a>00121
100<a name="l00123"></a>00123   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#ba1e16ff70ebd9ebcfc8a8579a63b488" title="calculate the log likelihood of C vector c_x_in using only Gaussian k ">log_lhood_single_gaus</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> * c_x_in, <span class="keyword">const</span> <span class="keywordtype">int</span> k) <span class="keyword">const</span>;
101<a name="l00124"></a>00124
102<a name="l00126"></a>00126   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#ba1e16ff70ebd9ebcfc8a8579a63b488" title="calculate the log likelihood of C vector c_x_in using only Gaussian k ">log_lhood_single_gaus</a>(<span class="keyword">const</span> vec &amp;x_in, <span class="keyword">const</span> <span class="keywordtype">int</span> k) <span class="keyword">const</span>;
103<a name="l00127"></a>00127
104<a name="l00129"></a>00129   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#39c98a5a5d5f26dab36eaf19c2359fc5" title="calculate the log likelihood of C vector c_x_in ">log_lhood</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> * c_x_in);
105<a name="l00130"></a>00130
106<a name="l00132"></a>00132   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#39c98a5a5d5f26dab36eaf19c2359fc5" title="calculate the log likelihood of C vector c_x_in ">log_lhood</a>(<span class="keyword">const</span> vec &amp;x_in);
107<a name="l00133"></a>00133
108<a name="l00135"></a>00135   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#e09fa2a5703892481688342d8d91fb7e" title="calculate the likelihood of C vector c_x_in ">lhood</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> * c_x_in);
109<a name="l00136"></a>00136
110<a name="l00138"></a>00138   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#e09fa2a5703892481688342d8d91fb7e" title="calculate the likelihood of C vector c_x_in ">lhood</a>(<span class="keyword">const</span> vec &amp;x_in);
111<a name="l00139"></a>00139
112<a name="l00141"></a>00141   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#79cd26f7bb9c6503c939fe4d000e0fd9" title="calculate the average log likelihood of an array of C vectors ( c_x_in )">avg_log_lhood</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> ** c_x_in, <span class="keywordtype">int</span> N);
113<a name="l00142"></a>00142
114<a name="l00144"></a>00144   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#79cd26f7bb9c6503c939fe4d000e0fd9" title="calculate the average log likelihood of an array of C vectors ( c_x_in )">avg_log_lhood</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Array.html">Array&lt;vec&gt;</a> &amp; X_in);
115<a name="l00145"></a>00145
116<a name="l00146"></a>00146 <span class="keyword">protected</span>:
117<a name="l00147"></a>00147
118<a name="l00148"></a>00148   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#06a0cc706fe1edb31dda4c4dd81a9808" title="additional processing of mean vectors, done as the last step of mean initialisation...">setup_means</a>();
119<a name="l00149"></a>00149   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#d26c089ab1b0c3f8c74e1118c0e3e8ca" title="additional processing of covariance vectors/matrices, done as the last step of covariance...">setup_covs</a>();
120<a name="l00150"></a>00150   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#1bcf27e15f218d0392c36f67746a5edc" title="additional processing of the weight vector, done as the last step of weight initialisation...">setup_weights</a>();
121<a name="l00151"></a>00151   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#10c139e8d57e71b6cfc33e01927c6a9c" title="additional processing of miscellaneous parameters, done as the last step of overall...">setup_misc</a>();
122<a name="l00152"></a>00152
123<a name="l00154"></a>00154   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#738f0d6e45ce40b867193df296276873" title="ADD DOCUMENTATION HERE.">log_lhood_single_gaus_internal</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> * c_x_in, <span class="keyword">const</span> <span class="keywordtype">int</span> k) <span class="keyword">const</span>;
124<a name="l00156"></a>00156   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#738f0d6e45ce40b867193df296276873" title="ADD DOCUMENTATION HERE.">log_lhood_single_gaus_internal</a>(<span class="keyword">const</span> vec &amp;x_in, <span class="keyword">const</span> <span class="keywordtype">int</span> k) <span class="keyword">const</span>;
125<a name="l00158"></a>00158   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#98e2cb2f4a34cf120eb64d5451b2fb68" title="ADD DOCUMENTATION HERE.">log_lhood_internal</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> * c_x_in);
126<a name="l00160"></a>00160   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#98e2cb2f4a34cf120eb64d5451b2fb68" title="ADD DOCUMENTATION HERE.">log_lhood_internal</a>(<span class="keyword">const</span> vec &amp;x_in);
127<a name="l00162"></a>00162   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#92d78e87ed23ab978dfda2ad497634f3" title="ADD DOCUMENTATION HERE.">lhood_internal</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> * c_x_in);
128<a name="l00164"></a>00164   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1MOG__diag.html#92d78e87ed23ab978dfda2ad497634f3" title="ADD DOCUMENTATION HERE.">lhood_internal</a>(<span class="keyword">const</span> vec &amp;x_in);
129<a name="l00165"></a>00165
130<a name="l00167"></a>00167   <span class="keywordtype">double</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#cae6c63ae036a9f0ecc3dae5b2507841" title="Enable C style access to an Array of vectors (vec).">enable_c_access</a>(<a class="code" href="classitpp_1_1Array.html">Array&lt;vec&gt;</a> &amp; A_in);
131<a name="l00168"></a>00168
132<a name="l00170"></a>00170   <span class="keywordtype">int</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#cae6c63ae036a9f0ecc3dae5b2507841" title="Enable C style access to an Array of vectors (vec).">enable_c_access</a>(<a class="code" href="classitpp_1_1Array.html">Array&lt;ivec&gt;</a> &amp; A_in);
133<a name="l00171"></a>00171
134<a name="l00173"></a>00173   <span class="keywordtype">double</span> * <a class="code" href="classitpp_1_1MOG__diag.html#cae6c63ae036a9f0ecc3dae5b2507841" title="Enable C style access to an Array of vectors (vec).">enable_c_access</a>(vec &amp; v_in);
135<a name="l00174"></a>00174
136<a name="l00176"></a>00176   <span class="keywordtype">int</span> * <a class="code" href="classitpp_1_1MOG__diag.html#cae6c63ae036a9f0ecc3dae5b2507841" title="Enable C style access to an Array of vectors (vec).">enable_c_access</a>(ivec &amp; v_in);
137<a name="l00177"></a>00177
138<a name="l00179"></a>00179   <span class="keywordtype">double</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#c3955e3d8697217f1eb85d11c0aad88d" title="Disable C style access to an Array of vectors (vec).">disable_c_access</a>(<span class="keywordtype">double</span> ** A_in);
139<a name="l00180"></a>00180
140<a name="l00182"></a>00182   <span class="keywordtype">int</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#c3955e3d8697217f1eb85d11c0aad88d" title="Disable C style access to an Array of vectors (vec).">disable_c_access</a>(<span class="keywordtype">int</span> ** A_in);
141<a name="l00183"></a>00183
142<a name="l00185"></a>00185   <span class="keywordtype">double</span> * <a class="code" href="classitpp_1_1MOG__diag.html#c3955e3d8697217f1eb85d11c0aad88d" title="Disable C style access to an Array of vectors (vec).">disable_c_access</a>(<span class="keywordtype">double</span> * v_in);
143<a name="l00186"></a>00186
144<a name="l00188"></a>00188   <span class="keywordtype">int</span> * <a class="code" href="classitpp_1_1MOG__diag.html#c3955e3d8697217f1eb85d11c0aad88d" title="Disable C style access to an Array of vectors (vec).">disable_c_access</a>(<span class="keywordtype">int</span> * v_in);
145<a name="l00189"></a>00189
146<a name="l00191"></a>00191   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#bb3ff3e8b580c619b78a52912547095f" title="ADD DOCUMENTATION HERE.">zero_all_ptrs</a>();
147<a name="l00193"></a>00193   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1MOG__diag.html#de7b331ff27b48d5cc1545466b201236" title="ADD DOCUMENTATION HERE.">free_all_ptrs</a>();
148<a name="l00194"></a>00194
149<a name="l00196"></a><a class="code" href="classitpp_1_1MOG__diag.html#bb8a22b9ee02908b00bb4030966d1158">00196</a>   <span class="keywordtype">double</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#bb8a22b9ee02908b00bb4030966d1158" title="pointers to the mean vectors">c_means</a>;
150<a name="l00197"></a>00197
151<a name="l00199"></a><a class="code" href="classitpp_1_1MOG__diag.html#f03b14c3cd71023eecdba1a3e4da29e3">00199</a>   <span class="keywordtype">double</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#f03b14c3cd71023eecdba1a3e4da29e3" title="pointers to the covariance vectors">c_diag_covs</a>;
152<a name="l00200"></a>00200
153<a name="l00202"></a><a class="code" href="classitpp_1_1MOG__diag.html#5587dc049fa3102add1301ac62cb2ddc">00202</a>   <span class="keywordtype">double</span> ** <a class="code" href="classitpp_1_1MOG__diag.html#5587dc049fa3102add1301ac62cb2ddc" title="pointers to the inverted covariance vectors">c_diag_covs_inv_etc</a>;
154<a name="l00203"></a>00203
155<a name="l00205"></a><a class="code" href="classitpp_1_1MOG__diag.html#ed5fc4b4a09d2b122f68e16a819ad9cf">00205</a>   <span class="keywordtype">double</span> * <a class="code" href="classitpp_1_1MOG__diag.html#ed5fc4b4a09d2b122f68e16a819ad9cf" title="pointer to the weight vector">c_weights</a>;
156<a name="l00206"></a>00206
157<a name="l00208"></a><a class="code" href="classitpp_1_1MOG__diag.html#dc7e67571386bd6975eccc937498c275">00208</a>   <span class="keywordtype">double</span> * <a class="code" href="classitpp_1_1MOG__diag.html#dc7e67571386bd6975eccc937498c275" title="pointer to the log version of the weight vector">c_log_weights</a>;
158<a name="l00209"></a>00209
159<a name="l00211"></a><a class="code" href="classitpp_1_1MOG__diag.html#d4b45af4a5552a31a97956f08c972bbe">00211</a>   <span class="keywordtype">double</span> * <a class="code" href="classitpp_1_1MOG__diag.html#d4b45af4a5552a31a97956f08c972bbe" title="pointer to the log_det_etc vector">c_log_det_etc</a>;
160<a name="l00212"></a>00212
161<a name="l00213"></a>00213 <span class="keyword">private</span>:
162<a name="l00214"></a>00214
163<a name="l00215"></a>00215   vec tmpvecK;
164<a name="l00216"></a>00216   <span class="keywordtype">double</span> * c_tmpvecK;
165<a name="l00217"></a>00217
166<a name="l00218"></a>00218 };
167<a name="l00219"></a>00219
168<a name="l00220"></a>00220 }
169<a name="l00221"></a>00221
170<a name="l00222"></a>00222 <span class="preprocessor">#endif // #ifndef MOG_DIAG_H</span>
171<a name="l00223"></a>00223 <span class="preprocessor"></span>
172</pre></div></div>
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175<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.8 </small></address>
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