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Functions</h2></td></tr>
<tr class="memitem:ae3e85fb932a5d939540004bbda190731"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespaceLEARNER.html#a807843d5185e0c5005a54bf28c111c79">LEARNER::base_learner</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="active__cover_8h.html#ae3e85fb932a5d939540004bbda190731">active_cover_setup</a> (<a class="el" href="structVW_1_1config_1_1options__i.html">VW::config::options_i</a> &options, <a class="el" href="structvw.html">vw</a> &all)</td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#ae3e85fb932a5d939540004bbda190731">◆ </a></span>active_cover_setup()</h2>
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<td class="memname"><a class="el" href="namespaceLEARNER.html#a807843d5185e0c5005a54bf28c111c79">LEARNER::base_learner</a>* active_cover_setup </td>
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<td class="paramtype"><a class="el" href="structVW_1_1config_1_1options__i.html">VW::config::options_i</a> & </td>
<td class="paramname"><em>options</em>, </td>
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<td class="paramtype"><a class="el" href="structvw.html">vw</a> & </td>
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<p class="definition">Definition at line <a class="el" href="active__cover_8cc_source.html#l00230">230</a> of file <a class="el" href="active__cover_8cc_source.html">active_cover.cc</a>.</p>
<p class="reference">References <a class="el" href="kernel__svm_8cc_source.html#l00546">add()</a>, <a class="el" href="structVW_1_1config_1_1options__i.html#a93c0de6c3ad57f6fb57441af2c908ba5">VW::config::options_i::add_and_parse()</a>, <a class="el" href="learner_8h_source.html#l00476">LEARNER::as_singleline()</a>, <a class="el" href="cache_8cc_source.html#l00040">f</a>, <a class="el" href="global__data_8h_source.html#l00553">vw::get_random_state()</a>, <a class="el" href="learner_8h_source.html#l00369">LEARNER::init_learner()</a>, <a class="el" href="learner_8h_source.html#l00462">LEARNER::make_base()</a>, <a class="el" href="options_8h_source.html#l00080">VW::config::make_option()</a>, <a class="el" href="parse__args_8cc_source.html#l01222">setup_base()</a>, <a class="el" href="vw__exception_8h_source.html#l00181">THROW</a>, and <a class="el" href="structVW_1_1config_1_1options__i.html#ab5171ac33158fca4580d3f0658c4929e">VW::config::options_i::was_supplied()</a>.</p>
<p class="reference">Referenced by <a class="el" href="parse__args_8cc_source.html#l01234">parse_reductions()</a>.</p>
<div class="fragment"><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">auto</span> data = scoped_calloc_or_throw<active_cover>();</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="structVW_1_1config_1_1option__group__definition.html">option_group_definition</a> new_options(<span class="stringliteral">"Active Learning with Cover"</span>);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordtype">bool</span> active_cover_option = <span class="keyword">false</span>;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  new_options.add(<a class="code" href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">make_option</a>(<span class="stringliteral">"active_cover"</span>, active_cover_option).keep().help(<span class="stringliteral">"enable active learning with cover"</span>))</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  .add(<a class="code" href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">make_option</a>(<span class="stringliteral">"mellowness"</span>, data->active_c0)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  .default_value(8.f)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  .help(<span class="stringliteral">"active learning mellowness parameter c_0. Default 8."</span>))</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  .<a class="code" href="kernel__svm_8cc.html#a907b9ad55bf6f8e61a6385bc9599fc0f">add</a>(<a class="code" href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">make_option</a>(<span class="stringliteral">"alpha"</span>, data->alpha)</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  .default_value(1.<a class="code" href="cache_8cc.html#af900396d7b72ff2a7002e8befe8cf8f1">f</a>)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  .help(<span class="stringliteral">"active learning variance upper bound parameter alpha. Default 1."</span>))</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  .<a class="code" href="kernel__svm_8cc.html#a907b9ad55bf6f8e61a6385bc9599fc0f">add</a>(<a class="code" href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">make_option</a>(<span class="stringliteral">"beta_scale"</span>, data->beta_scale)</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  .default_value(sqrtf(10.<a class="code" href="cache_8cc.html#af900396d7b72ff2a7002e8befe8cf8f1">f</a>))</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  .help(<span class="stringliteral">"active learning variance upper bound parameter beta_scale. Default std::sqrt(10)."</span>))</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  .<a class="code" href="kernel__svm_8cc.html#a907b9ad55bf6f8e61a6385bc9599fc0f">add</a>(<a class="code" href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">make_option</a>(<span class="stringliteral">"cover"</span>, data->cover_size).keep().default_value(12).help(<span class="stringliteral">"cover size. Default 12."</span>))</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  .<a class="code" href="kernel__svm_8cc.html#a907b9ad55bf6f8e61a6385bc9599fc0f">add</a>(<a class="code" href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">make_option</a>(<span class="stringliteral">"oracular"</span>, data->oracular).help(<span class="stringliteral">"Use Oracular-CAL style query or not. Default false."</span>));</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  options.<a class="code" href="structVW_1_1config_1_1options__i.html#a93c0de6c3ad57f6fb57441af2c908ba5">add_and_parse</a>(new_options);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">if</span> (!active_cover_option)</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  data->all = &all;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  data->_random_state = all.<a class="code" href="structvw.html#a30bca3f2116b0b7db82d60c76467f6c4">get_random_state</a>();</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  data->beta_scale *= data->beta_scale;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">if</span> (data->oracular)</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  data->cover_size = 0;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">if</span> (options.<a class="code" href="structVW_1_1config_1_1options__i.html#ab5171ac33158fca4580d3f0658c4929e">was_supplied</a>(<span class="stringliteral">"lda"</span>))</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="vw__exception_8h.html#a6418ba1768107875abafe9a0b6b8b2ad">THROW</a>(<span class="stringliteral">"error: you can't combine lda and active learning"</span>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">if</span> (options.<a class="code" href="structVW_1_1config_1_1options__i.html#ab5171ac33158fca4580d3f0658c4929e">was_supplied</a>(<span class="stringliteral">"active"</span>))</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="vw__exception_8h.html#a6418ba1768107875abafe9a0b6b8b2ad">THROW</a>(<span class="stringliteral">"error: you can't use --active_cover and --active at the same time"</span>);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">auto</span> base = <a class="code" href="namespaceLEARNER.html#abd71c87941b752738319b3d1ed64fe47">as_singleline</a>(<a class="code" href="parse__args_8cc.html#a34c806099b7857a0ffc630bc8142beba">setup_base</a>(options, all));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  data->lambda_n = <span class="keyword">new</span> <span class="keywordtype">float</span>[data->cover_size];</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  data->lambda_d = <span class="keyword">new</span> <span class="keywordtype">float</span>[data->cover_size];</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < data->cover_size; i++)</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  data->lambda_n[i] = 0.f;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  data->lambda_d[i] = 1.f / 8.f;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Create new learner</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="structLEARNER_1_1learner.html">learner<active_cover, example></a>& l = <a class="code" href="namespaceLEARNER.html#a46de7ca84ed37d7b45dc7db64420b978">init_learner</a>(</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  data, base, predict_or_learn_active_cover<true>, predict_or_learn_active_cover<false>, data->cover_size + 1);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> <a class="code" href="namespaceLEARNER.html#abcf6bdc2fa5e38928c33212e20dbbd74">make_base</a>(l);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> }</div><div class="ttc" id="namespaceLEARNER_html_abcf6bdc2fa5e38928c33212e20dbbd74"><div class="ttname"><a href="namespaceLEARNER.html#abcf6bdc2fa5e38928c33212e20dbbd74">LEARNER::make_base</a></div><div class="ttdeci">base_learner * make_base(learner< T, E > &base)</div><div class="ttdef"><b>Definition:</b> <a href="learner_8h_source.html#l00462">learner.h:462</a></div></div>
<div class="ttc" id="structVW_1_1config_1_1option__group__definition_html"><div class="ttname"><a href="structVW_1_1config_1_1option__group__definition.html">VW::config::option_group_definition</a></div><div class="ttdef"><b>Definition:</b> <a href="options_8h_source.html#l00085">options.h:85</a></div></div>
<div class="ttc" id="structVW_1_1config_1_1options__i_html_a93c0de6c3ad57f6fb57441af2c908ba5"><div class="ttname"><a href="structVW_1_1config_1_1options__i.html#a93c0de6c3ad57f6fb57441af2c908ba5">VW::config::options_i::add_and_parse</a></div><div class="ttdeci">virtual void add_and_parse(const option_group_definition &group)=0</div></div>
<div class="ttc" id="structLEARNER_1_1learner_html"><div class="ttname"><a href="structLEARNER_1_1learner.html">LEARNER::learner</a></div><div class="ttdef"><b>Definition:</b> <a href="cb__explore_8h_source.html#l00011">cb_explore.h:11</a></div></div>
<div class="ttc" id="structvw_html_a30bca3f2116b0b7db82d60c76467f6c4"><div class="ttname"><a href="structvw.html#a30bca3f2116b0b7db82d60c76467f6c4">vw::get_random_state</a></div><div class="ttdeci">std::shared_ptr< rand_state > get_random_state()</div><div class="ttdef"><b>Definition:</b> <a href="global__data_8h_source.html#l00553">global_data.h:553</a></div></div>
<div class="ttc" id="namespaceLEARNER_html_abd71c87941b752738319b3d1ed64fe47"><div class="ttname"><a href="namespaceLEARNER.html#abd71c87941b752738319b3d1ed64fe47">LEARNER::as_singleline</a></div><div class="ttdeci">single_learner * as_singleline(learner< T, E > *l)</div><div class="ttdef"><b>Definition:</b> <a href="learner_8h_source.html#l00476">learner.h:476</a></div></div>
<div class="ttc" id="namespaceLEARNER_html_a46de7ca84ed37d7b45dc7db64420b978"><div class="ttname"><a href="namespaceLEARNER.html#a46de7ca84ed37d7b45dc7db64420b978">LEARNER::init_learner</a></div><div class="ttdeci">learner< T, E > & init_learner(free_ptr< T > &dat, L *base, void(*learn)(T &, L &, E &), void(*predict)(T &, L &, E &), size_t ws, prediction_type::prediction_type_t pred_type)</div><div class="ttdef"><b>Definition:</b> <a href="learner_8h_source.html#l00369">learner.h:369</a></div></div>
<div class="ttc" id="structVW_1_1config_1_1options__i_html_ab5171ac33158fca4580d3f0658c4929e"><div class="ttname"><a href="structVW_1_1config_1_1options__i.html#ab5171ac33158fca4580d3f0658c4929e">VW::config::options_i::was_supplied</a></div><div class="ttdeci">virtual bool was_supplied(const std::string &key)=0</div></div>
<div class="ttc" id="kernel__svm_8cc_html_a907b9ad55bf6f8e61a6385bc9599fc0f"><div class="ttname"><a href="kernel__svm_8cc.html#a907b9ad55bf6f8e61a6385bc9599fc0f">add</a></div><div class="ttdeci">int add(svm_params &params, svm_example *fec)</div><div class="ttdef"><b>Definition:</b> <a href="kernel__svm_8cc_source.html#l00546">kernel_svm.cc:546</a></div></div>
<div class="ttc" id="namespaceVW_1_1config_html_ae768389a49d24d07215612b2f824d520"><div class="ttname"><a href="namespaceVW_1_1config.html#ae768389a49d24d07215612b2f824d520">VW::config::make_option</a></div><div class="ttdeci">typed_option< T > make_option(std::string name, T &location)</div><div class="ttdef"><b>Definition:</b> <a href="options_8h_source.html#l00080">options.h:80</a></div></div>
<div class="ttc" id="parse__args_8cc_html_a34c806099b7857a0ffc630bc8142beba"><div class="ttname"><a href="parse__args_8cc.html#a34c806099b7857a0ffc630bc8142beba">setup_base</a></div><div class="ttdeci">LEARNER::base_learner * setup_base(options_i &options, vw &all)</div><div class="ttdef"><b>Definition:</b> <a href="parse__args_8cc_source.html#l01222">parse_args.cc:1222</a></div></div>
<div class="ttc" id="vw__exception_8h_html_a6418ba1768107875abafe9a0b6b8b2ad"><div class="ttname"><a href="vw__exception_8h.html#a6418ba1768107875abafe9a0b6b8b2ad">THROW</a></div><div class="ttdeci">#define THROW(args)</div><div class="ttdef"><b>Definition:</b> <a href="vw__exception_8h_source.html#l00181">vw_exception.h:181</a></div></div>
<div class="ttc" id="cache_8cc_html_af900396d7b72ff2a7002e8befe8cf8f1"><div class="ttname"><a href="cache_8cc.html#af900396d7b72ff2a7002e8befe8cf8f1">f</a></div><div class="ttdeci">float f</div><div class="ttdef"><b>Definition:</b> <a href="cache_8cc_source.html#l00040">cache.cc:40</a></div></div>
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