http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/movielens_dataset.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_dataset.html b/userguide/recommend/movielens_dataset.html index 7352a3f..320bba4 100644 --- a/userguide/recommend/movielens_dataset.html +++ b/userguide/recommend/movielens_dataset.html @@ -598,14 +598,30 @@ </li> - <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html"> + <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html"> - <a href="../ft_engineering/tfidf.html"> + <a href="../ft_engineering/pairing.html"> <b>3.5.</b> - TF-IDF Calculation + FEATURE PAIRING + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html"> + + <a href="../ft_engineering/polynomial.html"> + + + <b>3.5.1.</b> + + Polynomial Features </a> @@ -613,6 +629,11 @@ </li> + + </ul> + + </li> + <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html"> <a href="../ft_engineering/ft_trans.html"> @@ -664,6 +685,21 @@ </li> + <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html"> + + <a href="../ft_engineering/tfidf.html"> + + + <b>3.7.</b> + + TF-IDF Calculation + + </a> + + + + </li> + @@ -761,7 +797,7 @@ - <li class="header">Part V - Prediction</li> + <li class="header">Part V - Supervised Learning</li> @@ -780,27 +816,19 @@ </li> - <li class="chapter " data-level="5.2" data-path="../regression/general.html"> - - <a href="../regression/general.html"> - - - <b>5.2.</b> - - Regression - - </a> - - - </li> - <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html"> + + <li class="header">Part VI - Binary classification</li> + + + + <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html"> <a href="../binaryclass/general.html"> - <b>5.3.</b> + <b>6.1.</b> Binary Classification @@ -810,21 +838,14 @@ </li> - - - - <li class="header">Part VI - Binary classification tutorials</li> - - - - <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html"> + <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html"> <a href="../binaryclass/a9a.html"> - <b>6.1.</b> + <b>6.2.</b> - a9a + a9a tutorial </a> @@ -833,12 +854,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html"> + <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html"> <a href="../binaryclass/a9a_dataset.html"> - <b>6.1.1.</b> + <b>6.2.1.</b> Data preparation @@ -848,12 +869,12 @@ </li> - <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html"> + <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html"> <a href="../binaryclass/a9a_lr.html"> - <b>6.1.2.</b> + <b>6.2.2.</b> Logistic Regression @@ -863,12 +884,12 @@ </li> - <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html"> + <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html"> <a href="../binaryclass/a9a_minibatch.html"> - <b>6.1.3.</b> + <b>6.2.3.</b> Mini-batch Gradient Descent @@ -883,14 +904,14 @@ </li> - <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html"> + <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html"> <a href="../binaryclass/news20.html"> - <b>6.2.</b> + <b>6.3.</b> - News20 + News20 tutorial </a> @@ -899,12 +920,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html"> + <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html"> <a href="../binaryclass/news20_dataset.html"> - <b>6.2.1.</b> + <b>6.3.1.</b> Data preparation @@ -914,12 +935,12 @@ </li> - <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html"> + <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html"> <a href="../binaryclass/news20_pa.html"> - <b>6.2.2.</b> + <b>6.3.2.</b> Perceptron, Passive Aggressive @@ -929,12 +950,12 @@ </li> - <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html"> + <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html"> <a href="../binaryclass/news20_scw.html"> - <b>6.2.3.</b> + <b>6.3.3.</b> CW, AROW, SCW @@ -944,12 +965,12 @@ </li> - <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html"> + <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html"> <a href="../binaryclass/news20_adagrad.html"> - <b>6.2.4.</b> + <b>6.3.4.</b> AdaGradRDA, AdaGrad, AdaDelta @@ -964,14 +985,14 @@ </li> - <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html"> + <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html"> <a href="../binaryclass/kdd2010a.html"> - <b>6.3.</b> + <b>6.4.</b> - KDD2010a + KDD2010a tutorial </a> @@ -980,12 +1001,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html"> + <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html"> <a href="../binaryclass/kdd2010a_dataset.html"> - <b>6.3.1.</b> + <b>6.4.1.</b> Data preparation @@ -995,12 +1016,12 @@ </li> - <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html"> + <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html"> <a href="../binaryclass/kdd2010a_scw.html"> - <b>6.3.2.</b> + <b>6.4.2.</b> PA, CW, AROW, SCW @@ -1015,14 +1036,14 @@ </li> - <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html"> + <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html"> <a href="../binaryclass/kdd2010b.html"> - <b>6.4.</b> + <b>6.5.</b> - KDD2010b + KDD2010b tutorial </a> @@ -1031,12 +1052,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html"> + <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html"> <a href="../binaryclass/kdd2010b_dataset.html"> - <b>6.4.1.</b> + <b>6.5.1.</b> Data preparation @@ -1046,12 +1067,12 @@ </li> - <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html"> + <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html"> <a href="../binaryclass/kdd2010b_arow.html"> - <b>6.4.2.</b> + <b>6.5.2.</b> AROW @@ -1066,14 +1087,14 @@ </li> - <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html"> + <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html"> <a href="../binaryclass/webspam.html"> - <b>6.5.</b> + <b>6.6.</b> - Webspam + Webspam tutorial </a> @@ -1082,12 +1103,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html"> + <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html"> <a href="../binaryclass/webspam_dataset.html"> - <b>6.5.1.</b> + <b>6.6.1.</b> Data pareparation @@ -1097,12 +1118,12 @@ </li> - <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html"> + <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html"> <a href="../binaryclass/webspam_scw.html"> - <b>6.5.2.</b> + <b>6.6.2.</b> PA1, AROW, SCW @@ -1117,14 +1138,14 @@ </li> - <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html"> + <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html"> <a href="../binaryclass/titanic_rf.html"> - <b>6.6.</b> + <b>6.7.</b> - Kaggle Titanic + Kaggle Titanic tutorial </a> @@ -1135,7 +1156,7 @@ - <li class="header">Part VII - Multiclass classification tutorials</li> + <li class="header">Part VII - Multiclass classification</li> @@ -1146,7 +1167,7 @@ <b>7.1.</b> - News20 Multiclass + News20 Multiclass tutorial </a> @@ -1257,7 +1278,7 @@ <b>7.2.</b> - Iris + Iris tutorial </a> @@ -1319,18 +1340,33 @@ - <li class="header">Part VIII - Regression tutorials</li> + <li class="header">Part VIII - Regression</li> - <li class="chapter " data-level="8.1" data-path="../regression/e2006.html"> + <li class="chapter " data-level="8.1" data-path="../regression/general.html"> - <a href="../regression/e2006.html"> + <a href="../regression/general.html"> <b>8.1.</b> - E2006-tfidf regression + Regression + + </a> + + + + </li> + + <li class="chapter " data-level="8.2" data-path="../regression/e2006.html"> + + <a href="../regression/e2006.html"> + + + <b>8.2.</b> + + E2006-tfidf regression tutorial </a> @@ -1339,12 +1375,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html"> + <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html"> <a href="../regression/e2006_dataset.html"> - <b>8.1.1.</b> + <b>8.2.1.</b> Data preparation @@ -1354,12 +1390,12 @@ </li> - <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html"> + <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html"> <a href="../regression/e2006_arow.html"> - <b>8.1.2.</b> + <b>8.2.2.</b> Passive Aggressive, AROW @@ -1374,14 +1410,14 @@ </li> - <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html"> + <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html"> <a href="../regression/kddcup12tr2.html"> - <b>8.2.</b> + <b>8.3.</b> - KDDCup 2012 track 2 CTR prediction + KDDCup 2012 track 2 CTR prediction tutorial </a> @@ -1390,12 +1426,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html"> + <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html"> <a href="../regression/kddcup12tr2_dataset.html"> - <b>8.2.1.</b> + <b>8.3.1.</b> Data preparation @@ -1405,12 +1441,12 @@ </li> - <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html"> + <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html"> <a href="../regression/kddcup12tr2_lr.html"> - <b>8.2.2.</b> + <b>8.3.2.</b> Logistic Regression, Passive Aggressive @@ -1420,12 +1456,12 @@ </li> - <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> + <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> <a href="../regression/kddcup12tr2_lr_amplify.html"> - <b>8.2.3.</b> + <b>8.3.3.</b> Logistic Regression with Amplifier @@ -1435,12 +1471,12 @@ </li> - <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html"> + <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html"> <a href="../regression/kddcup12tr2_adagrad.html"> - <b>8.2.4.</b> + <b>8.3.4.</b> AdaGrad, AdaDelta @@ -2273,7 +2309,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"9.3.1","depth":2,"next":{"title":"Item-based Collaborative Filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},"previous":{"title":"MovieLens movie recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based Collaborative 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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/movielens_fm.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_fm.html b/userguide/recommend/movielens_fm.html index 3e79b11..297e622 100644 --- a/userguide/recommend/movielens_fm.html +++ b/userguide/recommend/movielens_fm.html @@ -598,14 +598,30 @@ </li> - <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html"> + <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html"> - <a href="../ft_engineering/tfidf.html"> + <a href="../ft_engineering/pairing.html"> <b>3.5.</b> - TF-IDF Calculation + FEATURE PAIRING + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html"> + + <a href="../ft_engineering/polynomial.html"> + + + <b>3.5.1.</b> + + Polynomial Features </a> @@ -613,6 +629,11 @@ </li> + + </ul> + + </li> + <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html"> <a href="../ft_engineering/ft_trans.html"> @@ -664,6 +685,21 @@ </li> + <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html"> + + <a href="../ft_engineering/tfidf.html"> + + + <b>3.7.</b> + + TF-IDF Calculation + + </a> + + + + </li> + @@ -761,7 +797,7 @@ - <li class="header">Part V - Prediction</li> + <li class="header">Part V - Supervised Learning</li> @@ -780,27 +816,19 @@ </li> - <li class="chapter " data-level="5.2" data-path="../regression/general.html"> - - <a href="../regression/general.html"> - - - <b>5.2.</b> - - Regression - - </a> - - - </li> - <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html"> + + <li class="header">Part VI - Binary classification</li> + + + + <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html"> <a href="../binaryclass/general.html"> - <b>5.3.</b> + <b>6.1.</b> Binary Classification @@ -810,21 +838,14 @@ </li> - - - - <li class="header">Part VI - Binary classification tutorials</li> - - - - <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html"> + <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html"> <a href="../binaryclass/a9a.html"> - <b>6.1.</b> + <b>6.2.</b> - a9a + a9a tutorial </a> @@ -833,12 +854,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html"> + <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html"> <a href="../binaryclass/a9a_dataset.html"> - <b>6.1.1.</b> + <b>6.2.1.</b> Data preparation @@ -848,12 +869,12 @@ </li> - <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html"> + <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html"> <a href="../binaryclass/a9a_lr.html"> - <b>6.1.2.</b> + <b>6.2.2.</b> Logistic Regression @@ -863,12 +884,12 @@ </li> - <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html"> + <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html"> <a href="../binaryclass/a9a_minibatch.html"> - <b>6.1.3.</b> + <b>6.2.3.</b> Mini-batch Gradient Descent @@ -883,14 +904,14 @@ </li> - <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html"> + <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html"> <a href="../binaryclass/news20.html"> - <b>6.2.</b> + <b>6.3.</b> - News20 + News20 tutorial </a> @@ -899,12 +920,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html"> + <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html"> <a href="../binaryclass/news20_dataset.html"> - <b>6.2.1.</b> + <b>6.3.1.</b> Data preparation @@ -914,12 +935,12 @@ </li> - <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html"> + <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html"> <a href="../binaryclass/news20_pa.html"> - <b>6.2.2.</b> + <b>6.3.2.</b> Perceptron, Passive Aggressive @@ -929,12 +950,12 @@ </li> - <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html"> + <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html"> <a href="../binaryclass/news20_scw.html"> - <b>6.2.3.</b> + <b>6.3.3.</b> CW, AROW, SCW @@ -944,12 +965,12 @@ </li> - <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html"> + <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html"> <a href="../binaryclass/news20_adagrad.html"> - <b>6.2.4.</b> + <b>6.3.4.</b> AdaGradRDA, AdaGrad, AdaDelta @@ -964,14 +985,14 @@ </li> - <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html"> + <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html"> <a href="../binaryclass/kdd2010a.html"> - <b>6.3.</b> + <b>6.4.</b> - KDD2010a + KDD2010a tutorial </a> @@ -980,12 +1001,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html"> + <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html"> <a href="../binaryclass/kdd2010a_dataset.html"> - <b>6.3.1.</b> + <b>6.4.1.</b> Data preparation @@ -995,12 +1016,12 @@ </li> - <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html"> + <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html"> <a href="../binaryclass/kdd2010a_scw.html"> - <b>6.3.2.</b> + <b>6.4.2.</b> PA, CW, AROW, SCW @@ -1015,14 +1036,14 @@ </li> - <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html"> + <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html"> <a href="../binaryclass/kdd2010b.html"> - <b>6.4.</b> + <b>6.5.</b> - KDD2010b + KDD2010b tutorial </a> @@ -1031,12 +1052,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html"> + <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html"> <a href="../binaryclass/kdd2010b_dataset.html"> - <b>6.4.1.</b> + <b>6.5.1.</b> Data preparation @@ -1046,12 +1067,12 @@ </li> - <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html"> + <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html"> <a href="../binaryclass/kdd2010b_arow.html"> - <b>6.4.2.</b> + <b>6.5.2.</b> AROW @@ -1066,14 +1087,14 @@ </li> - <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html"> + <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html"> <a href="../binaryclass/webspam.html"> - <b>6.5.</b> + <b>6.6.</b> - Webspam + Webspam tutorial </a> @@ -1082,12 +1103,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html"> + <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html"> <a href="../binaryclass/webspam_dataset.html"> - <b>6.5.1.</b> + <b>6.6.1.</b> Data pareparation @@ -1097,12 +1118,12 @@ </li> - <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html"> + <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html"> <a href="../binaryclass/webspam_scw.html"> - <b>6.5.2.</b> + <b>6.6.2.</b> PA1, AROW, SCW @@ -1117,14 +1138,14 @@ </li> - <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html"> + <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html"> <a href="../binaryclass/titanic_rf.html"> - <b>6.6.</b> + <b>6.7.</b> - Kaggle Titanic + Kaggle Titanic tutorial </a> @@ -1135,7 +1156,7 @@ - <li class="header">Part VII - Multiclass classification tutorials</li> + <li class="header">Part VII - Multiclass classification</li> @@ -1146,7 +1167,7 @@ <b>7.1.</b> - News20 Multiclass + News20 Multiclass tutorial </a> @@ -1257,7 +1278,7 @@ <b>7.2.</b> - Iris + Iris tutorial </a> @@ -1319,18 +1340,33 @@ - <li class="header">Part VIII - Regression tutorials</li> + <li class="header">Part VIII - Regression</li> - <li class="chapter " data-level="8.1" data-path="../regression/e2006.html"> + <li class="chapter " data-level="8.1" data-path="../regression/general.html"> - <a href="../regression/e2006.html"> + <a href="../regression/general.html"> <b>8.1.</b> - E2006-tfidf regression + Regression + + </a> + + + + </li> + + <li class="chapter " data-level="8.2" data-path="../regression/e2006.html"> + + <a href="../regression/e2006.html"> + + + <b>8.2.</b> + + E2006-tfidf regression tutorial </a> @@ -1339,12 +1375,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html"> + <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html"> <a href="../regression/e2006_dataset.html"> - <b>8.1.1.</b> + <b>8.2.1.</b> Data preparation @@ -1354,12 +1390,12 @@ </li> - <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html"> + <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html"> <a href="../regression/e2006_arow.html"> - <b>8.1.2.</b> + <b>8.2.2.</b> Passive Aggressive, AROW @@ -1374,14 +1410,14 @@ </li> - <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html"> + <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html"> <a href="../regression/kddcup12tr2.html"> - <b>8.2.</b> + <b>8.3.</b> - KDDCup 2012 track 2 CTR prediction + KDDCup 2012 track 2 CTR prediction tutorial </a> @@ -1390,12 +1426,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html"> + <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html"> <a href="../regression/kddcup12tr2_dataset.html"> - <b>8.2.1.</b> + <b>8.3.1.</b> Data preparation @@ -1405,12 +1441,12 @@ </li> - <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html"> + <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html"> <a href="../regression/kddcup12tr2_lr.html"> - <b>8.2.2.</b> + <b>8.3.2.</b> Logistic Regression, Passive Aggressive @@ -1420,12 +1456,12 @@ </li> - <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> + <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> <a href="../regression/kddcup12tr2_lr_amplify.html"> - <b>8.2.3.</b> + <b>8.3.3.</b> Logistic Regression with Amplifier @@ -1435,12 +1471,12 @@ </li> - <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html"> + <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html"> <a href="../regression/kddcup12tr2_adagrad.html"> - <b>8.2.4.</b> + <b>8.3.4.</b> AdaGrad, AdaDelta @@ -2366,7 +2402,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Factorization Machine","level":"9.3.4","depth":2,"next":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"9.3.5","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Matrix 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---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_mf.html b/userguide/recommend/movielens_mf.html index 55f2992..b6c0129 100644 --- a/userguide/recommend/movielens_mf.html +++ b/userguide/recommend/movielens_mf.html @@ -598,14 +598,30 @@ </li> - <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html"> + <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html"> - <a href="../ft_engineering/tfidf.html"> + <a href="../ft_engineering/pairing.html"> <b>3.5.</b> - TF-IDF Calculation + FEATURE PAIRING + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html"> + + <a href="../ft_engineering/polynomial.html"> + + + <b>3.5.1.</b> + + Polynomial Features </a> @@ -613,6 +629,11 @@ </li> + + </ul> + + </li> + <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html"> <a href="../ft_engineering/ft_trans.html"> @@ -664,6 +685,21 @@ </li> + <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html"> + + <a href="../ft_engineering/tfidf.html"> + + + <b>3.7.</b> + + TF-IDF Calculation + + </a> + + + + </li> + @@ -761,7 +797,7 @@ - <li class="header">Part V - Prediction</li> + <li class="header">Part V - Supervised Learning</li> @@ -780,27 +816,19 @@ </li> - <li class="chapter " data-level="5.2" data-path="../regression/general.html"> - - <a href="../regression/general.html"> - - - <b>5.2.</b> - - Regression - - </a> - - - </li> - <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html"> + + <li class="header">Part VI - Binary classification</li> + + + + <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html"> <a href="../binaryclass/general.html"> - <b>5.3.</b> + <b>6.1.</b> Binary Classification @@ -810,21 +838,14 @@ </li> - - - - <li class="header">Part VI - Binary classification tutorials</li> - - - - <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html"> + <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html"> <a href="../binaryclass/a9a.html"> - <b>6.1.</b> + <b>6.2.</b> - a9a + a9a tutorial </a> @@ -833,12 +854,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html"> + <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html"> <a href="../binaryclass/a9a_dataset.html"> - <b>6.1.1.</b> + <b>6.2.1.</b> Data preparation @@ -848,12 +869,12 @@ </li> - <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html"> + <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html"> <a href="../binaryclass/a9a_lr.html"> - <b>6.1.2.</b> + <b>6.2.2.</b> Logistic Regression @@ -863,12 +884,12 @@ </li> - <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html"> + <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html"> <a href="../binaryclass/a9a_minibatch.html"> - <b>6.1.3.</b> + <b>6.2.3.</b> Mini-batch Gradient Descent @@ -883,14 +904,14 @@ </li> - <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html"> + <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html"> <a href="../binaryclass/news20.html"> - <b>6.2.</b> + <b>6.3.</b> - News20 + News20 tutorial </a> @@ -899,12 +920,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html"> + <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html"> <a href="../binaryclass/news20_dataset.html"> - <b>6.2.1.</b> + <b>6.3.1.</b> Data preparation @@ -914,12 +935,12 @@ </li> - <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html"> + <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html"> <a href="../binaryclass/news20_pa.html"> - <b>6.2.2.</b> + <b>6.3.2.</b> Perceptron, Passive Aggressive @@ -929,12 +950,12 @@ </li> - <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html"> + <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html"> <a href="../binaryclass/news20_scw.html"> - <b>6.2.3.</b> + <b>6.3.3.</b> CW, AROW, SCW @@ -944,12 +965,12 @@ </li> - <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html"> + <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html"> <a href="../binaryclass/news20_adagrad.html"> - <b>6.2.4.</b> + <b>6.3.4.</b> AdaGradRDA, AdaGrad, AdaDelta @@ -964,14 +985,14 @@ </li> - <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html"> + <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html"> <a href="../binaryclass/kdd2010a.html"> - <b>6.3.</b> + <b>6.4.</b> - KDD2010a + KDD2010a tutorial </a> @@ -980,12 +1001,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html"> + <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html"> <a href="../binaryclass/kdd2010a_dataset.html"> - <b>6.3.1.</b> + <b>6.4.1.</b> Data preparation @@ -995,12 +1016,12 @@ </li> - <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html"> + <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html"> <a href="../binaryclass/kdd2010a_scw.html"> - <b>6.3.2.</b> + <b>6.4.2.</b> PA, CW, AROW, SCW @@ -1015,14 +1036,14 @@ </li> - <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html"> + <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html"> <a href="../binaryclass/kdd2010b.html"> - <b>6.4.</b> + <b>6.5.</b> - KDD2010b + KDD2010b tutorial </a> @@ -1031,12 +1052,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html"> + <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html"> <a href="../binaryclass/kdd2010b_dataset.html"> - <b>6.4.1.</b> + <b>6.5.1.</b> Data preparation @@ -1046,12 +1067,12 @@ </li> - <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html"> + <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html"> <a href="../binaryclass/kdd2010b_arow.html"> - <b>6.4.2.</b> + <b>6.5.2.</b> AROW @@ -1066,14 +1087,14 @@ </li> - <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html"> + <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html"> <a href="../binaryclass/webspam.html"> - <b>6.5.</b> + <b>6.6.</b> - Webspam + Webspam tutorial </a> @@ -1082,12 +1103,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html"> + <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html"> <a href="../binaryclass/webspam_dataset.html"> - <b>6.5.1.</b> + <b>6.6.1.</b> Data pareparation @@ -1097,12 +1118,12 @@ </li> - <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html"> + <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html"> <a href="../binaryclass/webspam_scw.html"> - <b>6.5.2.</b> + <b>6.6.2.</b> PA1, AROW, SCW @@ -1117,14 +1138,14 @@ </li> - <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html"> + <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html"> <a href="../binaryclass/titanic_rf.html"> - <b>6.6.</b> + <b>6.7.</b> - Kaggle Titanic + Kaggle Titanic tutorial </a> @@ -1135,7 +1156,7 @@ - <li class="header">Part VII - Multiclass classification tutorials</li> + <li class="header">Part VII - Multiclass classification</li> @@ -1146,7 +1167,7 @@ <b>7.1.</b> - News20 Multiclass + News20 Multiclass tutorial </a> @@ -1257,7 +1278,7 @@ <b>7.2.</b> - Iris + Iris tutorial </a> @@ -1319,18 +1340,33 @@ - <li class="header">Part VIII - Regression tutorials</li> + <li class="header">Part VIII - Regression</li> - <li class="chapter " data-level="8.1" data-path="../regression/e2006.html"> + <li class="chapter " data-level="8.1" data-path="../regression/general.html"> - <a href="../regression/e2006.html"> + <a href="../regression/general.html"> <b>8.1.</b> - E2006-tfidf regression + Regression + + </a> + + + + </li> + + <li class="chapter " data-level="8.2" data-path="../regression/e2006.html"> + + <a href="../regression/e2006.html"> + + + <b>8.2.</b> + + E2006-tfidf regression tutorial </a> @@ -1339,12 +1375,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html"> + <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html"> <a href="../regression/e2006_dataset.html"> - <b>8.1.1.</b> + <b>8.2.1.</b> Data preparation @@ -1354,12 +1390,12 @@ </li> - <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html"> + <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html"> <a href="../regression/e2006_arow.html"> - <b>8.1.2.</b> + <b>8.2.2.</b> Passive Aggressive, AROW @@ -1374,14 +1410,14 @@ </li> - <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html"> + <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html"> <a href="../regression/kddcup12tr2.html"> - <b>8.2.</b> + <b>8.3.</b> - KDDCup 2012 track 2 CTR prediction + KDDCup 2012 track 2 CTR prediction tutorial </a> @@ -1390,12 +1426,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html"> + <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html"> <a href="../regression/kddcup12tr2_dataset.html"> - <b>8.2.1.</b> + <b>8.3.1.</b> Data preparation @@ -1405,12 +1441,12 @@ </li> - <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html"> + <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html"> <a href="../regression/kddcup12tr2_lr.html"> - <b>8.2.2.</b> + <b>8.3.2.</b> Logistic Regression, Passive Aggressive @@ -1420,12 +1456,12 @@ </li> - <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> + <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> <a href="../regression/kddcup12tr2_lr_amplify.html"> - <b>8.2.3.</b> + <b>8.3.3.</b> Logistic Regression with Amplifier @@ -1435,12 +1471,12 @@ </li> - <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html"> + <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html"> <a href="../regression/kddcup12tr2_adagrad.html"> - <b>8.2.4.</b> + <b>8.3.4.</b> AdaGrad, 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