Updated userguide for dimsum and general classifier/regressor
Project: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/commit/f103c424 Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/tree/f103c424 Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/diff/f103c424 Branch: refs/heads/asf-site Commit: f103c424774e29a9a6fd64c72960a47ea36f1337 Parents: acf3d4f Author: Makoto Yui <[email protected]> Authored: Thu Jun 15 19:35:30 2017 +0900 Committer: Makoto Yui <[email protected]> Committed: Thu Jun 15 19:35:30 2017 +0900 ---------------------------------------------------------------------- userguide/anomaly/changefinder.html | 379 +-- userguide/anomaly/lof.html | 379 +-- userguide/anomaly/sst.html | 379 +-- userguide/binaryclass/a9a.html | 385 +-- userguide/binaryclass/a9a_dataset.html | 379 +-- userguide/binaryclass/a9a_lr.html | 379 +-- userguide/binaryclass/a9a_minibatch.html | 379 +-- userguide/binaryclass/general.html | 2304 ++++++++++++++++ userguide/binaryclass/kdd2010a.html | 383 +-- userguide/binaryclass/kdd2010a_dataset.html | 379 +-- userguide/binaryclass/kdd2010a_scw.html | 379 +-- userguide/binaryclass/kdd2010b.html | 383 +-- userguide/binaryclass/kdd2010b_arow.html | 379 +-- userguide/binaryclass/kdd2010b_dataset.html | 379 +-- userguide/binaryclass/news20.html | 383 +-- userguide/binaryclass/news20_adagrad.html | 379 +-- userguide/binaryclass/news20_dataset.html | 379 +-- userguide/binaryclass/news20_pa.html | 379 +-- userguide/binaryclass/news20_scw.html | 379 +-- userguide/binaryclass/titanic_rf.html | 383 +-- userguide/binaryclass/webspam.html | 383 +-- userguide/binaryclass/webspam_dataset.html | 379 +-- userguide/binaryclass/webspam_scw.html | 379 +-- userguide/clustering/lda.html | 379 +-- userguide/clustering/plsa.html | 379 +-- userguide/docker/getting_started.html | 379 +-- userguide/eval/auc.html | 379 +-- userguide/eval/datagen.html | 379 +-- userguide/eval/lr_datagen.html | 381 +-- userguide/eval/rank.html | 425 +-- userguide/eval/stat_eval.html | 379 +-- userguide/ft_engineering/binning.html | 379 +-- userguide/ft_engineering/ft_trans.html | 379 +-- userguide/ft_engineering/hashing.html | 379 +-- userguide/ft_engineering/quantify.html | 379 +-- userguide/ft_engineering/scaling.html | 379 +-- userguide/ft_engineering/selection.html | 383 +-- userguide/ft_engineering/tfidf.html | 379 +-- userguide/ft_engineering/vectorization.html | 379 +-- userguide/geospatial/latlon.html | 381 +-- userguide/getting_started/index.html | 379 +-- userguide/getting_started/input-format.html | 379 +-- userguide/getting_started/installation.html | 379 +-- .../getting_started/permanent-functions.html | 379 +-- userguide/index.html | 379 +-- userguide/misc/generic_funcs.html | 379 +-- userguide/misc/prediction.html | 2370 ++++++++++++++++ userguide/misc/tokenizer.html | 379 +-- userguide/misc/topk.html | 379 +-- userguide/multiclass/iris.html | 383 +-- userguide/multiclass/iris_dataset.html | 379 +-- userguide/multiclass/iris_randomforest.html | 379 +-- userguide/multiclass/iris_scw.html | 379 +-- userguide/multiclass/news20.html | 383 +-- userguide/multiclass/news20_dataset.html | 379 +-- userguide/multiclass/news20_ensemble.html | 379 +-- .../multiclass/news20_one-vs-the-rest.html | 379 +-- .../news20_one-vs-the-rest_dataset.html | 379 +-- userguide/multiclass/news20_pa.html | 379 +-- userguide/multiclass/news20_scw.html | 379 +-- userguide/recommend/cf.html | 379 +-- userguide/recommend/item_based_cf.html | 379 +-- userguide/recommend/movielens.html | 379 +-- userguide/recommend/movielens_cf.html | 2543 ++++++++++++++++++ userguide/recommend/movielens_cv.html | 379 +-- userguide/recommend/movielens_dataset.html | 381 +-- userguide/recommend/movielens_fm.html | 379 +-- userguide/recommend/movielens_mf.html | 381 +-- userguide/recommend/news20.html | 379 +-- userguide/recommend/news20_bbit_minhash.html | 379 +-- userguide/recommend/news20_jaccard.html | 379 +-- userguide/recommend/news20_knn.html | 379 +-- userguide/regression/e2006.html | 383 +-- userguide/regression/e2006_arow.html | 379 +-- userguide/regression/e2006_dataset.html | 379 +-- userguide/regression/general.html | 2256 ++++++++++++++++ userguide/regression/kddcup12tr2.html | 383 +-- userguide/regression/kddcup12tr2_adagrad.html | 379 +-- userguide/regression/kddcup12tr2_dataset.html | 379 +-- userguide/regression/kddcup12tr2_lr.html | 379 +-- .../regression/kddcup12tr2_lr_amplify.html | 379 +-- userguide/search_index.json | 2 +- userguide/sitemap.xml | 4 + userguide/spark/binaryclass/a9a_df.html | 379 +-- userguide/spark/binaryclass/index.html | 379 +-- userguide/spark/getting_started/index.html | 379 +-- .../spark/getting_started/installation.html | 379 +-- userguide/spark/misc/functions.html | 379 +-- userguide/spark/misc/misc.html | 379 +-- userguide/spark/misc/topk_join.html | 379 +-- userguide/spark/regression/e2006_df.html | 379 +-- userguide/tips/addbias.html | 379 +-- userguide/tips/emr.html | 379 +-- userguide/tips/ensemble_learning.html | 379 +-- userguide/tips/general_tips.html | 379 +-- userguide/tips/hadoop_tuning.html | 379 +-- userguide/tips/index.html | 379 +-- userguide/tips/mixserver.html | 379 +-- userguide/tips/rand_amplify.html | 379 +-- userguide/tips/rowid.html | 379 +-- userguide/tips/rt_prediction.html | 379 +-- userguide/troubleshooting/asterisk.html | 379 +-- userguide/troubleshooting/index.html | 379 +-- .../troubleshooting/mapjoin_classcastex.html | 379 +-- .../troubleshooting/mapjoin_task_error.html | 379 +-- userguide/troubleshooting/num_mappers.html | 379 +-- userguide/troubleshooting/oom.html | 379 +-- 107 files changed, 32051 insertions(+), 15807 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/f103c424/userguide/anomaly/changefinder.html ---------------------------------------------------------------------- diff --git a/userguide/anomaly/changefinder.html b/userguide/anomaly/changefinder.html index 84c74b2..17d2450 100644 --- a/userguide/anomaly/changefinder.html +++ b/userguide/anomaly/changefinder.html @@ -761,18 +761,70 @@ - <li class="header">Part V - Binary classification</li> + <li class="header">Part V - Prediction</li> - <li class="chapter " data-level="5.1" data-path="../binaryclass/a9a.html"> + <li class="chapter " data-level="5.1" data-path="../misc/prediction.html"> - <a href="../binaryclass/a9a.html"> + <a href="../misc/prediction.html"> <b>5.1.</b> - a9a Tutorial + How Prediction Works + + </a> + + + + </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"> + + <a href="../binaryclass/general.html"> + + + <b>5.3.</b> + + Binary Classification + + </a> + + + + </li> + + + + + <li class="header">Part VI - Binary classification tutorials</li> + + + + <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html"> + + <a href="../binaryclass/a9a.html"> + + + <b>6.1.</b> + + a9a </a> @@ -781,12 +833,12 @@ <ul class="articles"> - <li class="chapter " data-level="5.1.1" data-path="../binaryclass/a9a_dataset.html"> + <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html"> <a href="../binaryclass/a9a_dataset.html"> - <b>5.1.1.</b> + <b>6.1.1.</b> Data preparation @@ -796,12 +848,12 @@ </li> - <li class="chapter " data-level="5.1.2" data-path="../binaryclass/a9a_lr.html"> + <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html"> <a href="../binaryclass/a9a_lr.html"> - <b>5.1.2.</b> + <b>6.1.2.</b> Logistic Regression @@ -811,12 +863,12 @@ </li> - <li class="chapter " data-level="5.1.3" data-path="../binaryclass/a9a_minibatch.html"> + <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html"> <a href="../binaryclass/a9a_minibatch.html"> - <b>5.1.3.</b> + <b>6.1.3.</b> Mini-batch Gradient Descent @@ -831,14 +883,14 @@ </li> - <li class="chapter " data-level="5.2" data-path="../binaryclass/news20.html"> + <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html"> <a href="../binaryclass/news20.html"> - <b>5.2.</b> + <b>6.2.</b> - News20 Tutorial + News20 </a> @@ -847,12 +899,12 @@ <ul class="articles"> - <li class="chapter " data-level="5.2.1" data-path="../binaryclass/news20_dataset.html"> + <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html"> <a href="../binaryclass/news20_dataset.html"> - <b>5.2.1.</b> + <b>6.2.1.</b> Data preparation @@ -862,12 +914,12 @@ </li> - <li class="chapter " data-level="5.2.2" data-path="../binaryclass/news20_pa.html"> + <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html"> <a href="../binaryclass/news20_pa.html"> - <b>5.2.2.</b> + <b>6.2.2.</b> Perceptron, Passive Aggressive @@ -877,12 +929,12 @@ </li> - <li class="chapter " data-level="5.2.3" data-path="../binaryclass/news20_scw.html"> + <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html"> <a href="../binaryclass/news20_scw.html"> - <b>5.2.3.</b> + <b>6.2.3.</b> CW, AROW, SCW @@ -892,12 +944,12 @@ </li> - <li class="chapter " data-level="5.2.4" data-path="../binaryclass/news20_adagrad.html"> + <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html"> <a href="../binaryclass/news20_adagrad.html"> - <b>5.2.4.</b> + <b>6.2.4.</b> AdaGradRDA, AdaGrad, AdaDelta @@ -912,14 +964,14 @@ </li> - <li class="chapter " data-level="5.3" data-path="../binaryclass/kdd2010a.html"> + <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html"> <a href="../binaryclass/kdd2010a.html"> - <b>5.3.</b> + <b>6.3.</b> - KDD2010a Tutorial + KDD2010a </a> @@ -928,12 +980,12 @@ <ul class="articles"> - <li class="chapter " data-level="5.3.1" data-path="../binaryclass/kdd2010a_dataset.html"> + <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html"> <a href="../binaryclass/kdd2010a_dataset.html"> - <b>5.3.1.</b> + <b>6.3.1.</b> Data preparation @@ -943,12 +995,12 @@ </li> - <li class="chapter " data-level="5.3.2" data-path="../binaryclass/kdd2010a_scw.html"> + <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html"> <a href="../binaryclass/kdd2010a_scw.html"> - <b>5.3.2.</b> + <b>6.3.2.</b> PA, CW, AROW, SCW @@ -963,14 +1015,14 @@ </li> - <li class="chapter " data-level="5.4" data-path="../binaryclass/kdd2010b.html"> + <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html"> <a href="../binaryclass/kdd2010b.html"> - <b>5.4.</b> + <b>6.4.</b> - KDD2010b Tutorial + KDD2010b </a> @@ -979,12 +1031,12 @@ <ul class="articles"> - <li class="chapter " data-level="5.4.1" data-path="../binaryclass/kdd2010b_dataset.html"> + <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html"> <a href="../binaryclass/kdd2010b_dataset.html"> - <b>5.4.1.</b> + <b>6.4.1.</b> Data preparation @@ -994,12 +1046,12 @@ </li> - <li class="chapter " data-level="5.4.2" data-path="../binaryclass/kdd2010b_arow.html"> + <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html"> <a href="../binaryclass/kdd2010b_arow.html"> - <b>5.4.2.</b> + <b>6.4.2.</b> AROW @@ -1014,14 +1066,14 @@ </li> - <li class="chapter " data-level="5.5" data-path="../binaryclass/webspam.html"> + <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html"> <a href="../binaryclass/webspam.html"> - <b>5.5.</b> + <b>6.5.</b> - Webspam Tutorial + Webspam </a> @@ -1030,12 +1082,12 @@ <ul class="articles"> - <li class="chapter " data-level="5.5.1" data-path="../binaryclass/webspam_dataset.html"> + <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html"> <a href="../binaryclass/webspam_dataset.html"> - <b>5.5.1.</b> + <b>6.5.1.</b> Data pareparation @@ -1045,12 +1097,12 @@ </li> - <li class="chapter " data-level="5.5.2" data-path="../binaryclass/webspam_scw.html"> + <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html"> <a href="../binaryclass/webspam_scw.html"> - <b>5.5.2.</b> + <b>6.5.2.</b> PA1, AROW, SCW @@ -1065,14 +1117,14 @@ </li> - <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html"> <a href="../binaryclass/titanic_rf.html"> - <b>5.6.</b> + <b>6.6.</b> - Kaggle Titanic Tutorial + Kaggle Titanic </a> @@ -1083,18 +1135,18 @@ - <li class="header">Part VI - Multiclass classification</li> + <li class="header">Part VII - Multiclass classification tutorials</li> - <li class="chapter " data-level="6.1" data-path="../multiclass/news20.html"> + <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html"> <a href="../multiclass/news20.html"> - <b>6.1.</b> + <b>7.1.</b> - News20 Multiclass Tutorial + News20 Multiclass </a> @@ -1103,12 +1155,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.1.1" data-path="../multiclass/news20_dataset.html"> + <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html"> <a href="../multiclass/news20_dataset.html"> - <b>6.1.1.</b> + <b>7.1.1.</b> Data preparation @@ -1118,12 +1170,12 @@ </li> - <li class="chapter " data-level="6.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html"> + <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html"> <a href="../multiclass/news20_one-vs-the-rest_dataset.html"> - <b>6.1.2.</b> + <b>7.1.2.</b> Data preparation for one-vs-the-rest classifiers @@ -1133,12 +1185,12 @@ </li> - <li class="chapter " data-level="6.1.3" data-path="../multiclass/news20_pa.html"> + <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html"> <a href="../multiclass/news20_pa.html"> - <b>6.1.3.</b> + <b>7.1.3.</b> PA @@ -1148,12 +1200,12 @@ </li> - <li class="chapter " data-level="6.1.4" data-path="../multiclass/news20_scw.html"> + <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html"> <a href="../multiclass/news20_scw.html"> - <b>6.1.4.</b> + <b>7.1.4.</b> CW, AROW, SCW @@ -1163,12 +1215,12 @@ </li> - <li class="chapter " data-level="6.1.5" data-path="../multiclass/news20_ensemble.html"> + <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html"> <a href="../multiclass/news20_ensemble.html"> - <b>6.1.5.</b> + <b>7.1.5.</b> Ensemble learning @@ -1178,12 +1230,12 @@ </li> - <li class="chapter " data-level="6.1.6" data-path="../multiclass/news20_one-vs-the-rest.html"> + <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html"> <a href="../multiclass/news20_one-vs-the-rest.html"> - <b>6.1.6.</b> + <b>7.1.6.</b> one-vs-the-rest classifier @@ -1198,14 +1250,14 @@ </li> - <li class="chapter " data-level="6.2" data-path="../multiclass/iris.html"> + <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html"> <a href="../multiclass/iris.html"> - <b>6.2.</b> + <b>7.2.</b> - Iris Tutorial + Iris </a> @@ -1214,12 +1266,12 @@ <ul class="articles"> - <li class="chapter " data-level="6.2.1" data-path="../multiclass/iris_dataset.html"> + <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html"> <a href="../multiclass/iris_dataset.html"> - <b>6.2.1.</b> + <b>7.2.1.</b> Data preparation @@ -1229,12 +1281,12 @@ </li> - <li class="chapter " data-level="6.2.2" data-path="../multiclass/iris_scw.html"> + <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html"> <a href="../multiclass/iris_scw.html"> - <b>6.2.2.</b> + <b>7.2.2.</b> SCW @@ -1244,12 +1296,12 @@ </li> - <li class="chapter " data-level="6.2.3" data-path="../multiclass/iris_randomforest.html"> + <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html"> <a href="../multiclass/iris_randomforest.html"> - <b>6.2.3.</b> + <b>7.2.3.</b> RandomForest @@ -1267,18 +1319,18 @@ - <li class="header">Part VII - Regression</li> + <li class="header">Part VIII - Regression tutorials</li> - <li class="chapter " data-level="7.1" data-path="../regression/e2006.html"> + <li class="chapter " data-level="8.1" data-path="../regression/e2006.html"> <a href="../regression/e2006.html"> - <b>7.1.</b> + <b>8.1.</b> - E2006-tfidf regression Tutorial + E2006-tfidf regression </a> @@ -1287,12 +1339,12 @@ <ul class="articles"> - <li class="chapter " data-level="7.1.1" data-path="../regression/e2006_dataset.html"> + <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html"> <a href="../regression/e2006_dataset.html"> - <b>7.1.1.</b> + <b>8.1.1.</b> Data preparation @@ -1302,12 +1354,12 @@ </li> - <li class="chapter " data-level="7.1.2" data-path="../regression/e2006_arow.html"> + <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html"> <a href="../regression/e2006_arow.html"> - <b>7.1.2.</b> + <b>8.1.2.</b> Passive Aggressive, AROW @@ -1322,14 +1374,14 @@ </li> - <li class="chapter " data-level="7.2" data-path="../regression/kddcup12tr2.html"> + <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html"> <a href="../regression/kddcup12tr2.html"> - <b>7.2.</b> + <b>8.2.</b> - KDDCup 2012 track 2 CTR prediction Tutorial + KDDCup 2012 track 2 CTR prediction </a> @@ -1338,12 +1390,12 @@ <ul class="articles"> - <li class="chapter " data-level="7.2.1" data-path="../regression/kddcup12tr2_dataset.html"> + <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html"> <a href="../regression/kddcup12tr2_dataset.html"> - <b>7.2.1.</b> + <b>8.2.1.</b> Data preparation @@ -1353,12 +1405,12 @@ </li> - <li class="chapter " data-level="7.2.2" data-path="../regression/kddcup12tr2_lr.html"> + <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html"> <a href="../regression/kddcup12tr2_lr.html"> - <b>7.2.2.</b> + <b>8.2.2.</b> Logistic Regression, Passive Aggressive @@ -1368,12 +1420,12 @@ </li> - <li class="chapter " data-level="7.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> + <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html"> <a href="../regression/kddcup12tr2_lr_amplify.html"> - <b>7.2.3.</b> + <b>8.2.3.</b> Logistic Regression with Amplifier @@ -1383,12 +1435,12 @@ </li> - <li class="chapter " data-level="7.2.4" data-path="../regression/kddcup12tr2_adagrad.html"> + <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html"> <a href="../regression/kddcup12tr2_adagrad.html"> - <b>7.2.4.</b> + <b>8.2.4.</b> AdaGrad, AdaDelta @@ -1406,16 +1458,16 @@ - <li class="header">Part VIII - Recommendation</li> + <li class="header">Part IX - Recommendation</li> - <li class="chapter " data-level="8.1" data-path="../recommend/cf.html"> + <li class="chapter " data-level="9.1" data-path="../recommend/cf.html"> <a href="../recommend/cf.html"> - <b>8.1.</b> + <b>9.1.</b> Collaborative Filtering @@ -1426,12 +1478,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.1.1" data-path="../recommend/item_based_cf.html"> + <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html"> <a href="../recommend/item_based_cf.html"> - <b>8.1.1.</b> + <b>9.1.1.</b> Item-based Collaborative Filtering @@ -1446,12 +1498,12 @@ </li> - <li class="chapter " data-level="8.2" data-path="../recommend/news20.html"> + <li class="chapter " data-level="9.2" data-path="../recommend/news20.html"> <a href="../recommend/news20.html"> - <b>8.2.</b> + <b>9.2.</b> News20 related article recommendation Tutorial @@ -1462,12 +1514,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.2.1" data-path="../multiclass/news20_dataset.html"> + <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html"> <a href="../multiclass/news20_dataset.html"> - <b>8.2.1.</b> + <b>9.2.1.</b> Data preparation @@ -1477,12 +1529,12 @@ </li> - <li class="chapter " data-level="8.2.2" data-path="../recommend/news20_jaccard.html"> + <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html"> <a href="../recommend/news20_jaccard.html"> - <b>8.2.2.</b> + <b>9.2.2.</b> LSH/Minhash and Jaccard Similarity @@ -1492,12 +1544,12 @@ </li> - <li class="chapter " data-level="8.2.3" data-path="../recommend/news20_knn.html"> + <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html"> <a href="../recommend/news20_knn.html"> - <b>8.2.3.</b> + <b>9.2.3.</b> LSH/Minhash and Brute-Force Search @@ -1507,12 +1559,12 @@ </li> - <li class="chapter " data-level="8.2.4" data-path="../recommend/news20_bbit_minhash.html"> + <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html"> <a href="../recommend/news20_bbit_minhash.html"> - <b>8.2.4.</b> + <b>9.2.4.</b> kNN search using b-Bits Minhash @@ -1527,12 +1579,12 @@ </li> - <li class="chapter " data-level="8.3" data-path="../recommend/movielens.html"> + <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html"> <a href="../recommend/movielens.html"> - <b>8.3.</b> + <b>9.3.</b> MovieLens movie recommendation Tutorial @@ -1543,12 +1595,12 @@ <ul class="articles"> - <li class="chapter " data-level="8.3.1" data-path="../recommend/movielens_dataset.html"> + <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html"> <a href="../recommend/movielens_dataset.html"> - <b>8.3.1.</b> + <b>9.3.1.</b> Data preparation @@ -1558,12 +1610,27 @@ </li> - <li class="chapter " data-level="8.3.2" data-path="../recommend/movielens_mf.html"> + <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html"> + + <a href="../recommend/movielens_cf.html"> + + + <b>9.3.2.</b> + + Item-based Collaborative Filtering + + </a> + + + + </li> + + <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html"> <a href="../recommend/movielens_mf.html"> - <b>8.3.2.</b> + <b>9.3.3.</b> Matrix Factorization @@ -1573,12 +1640,12 @@ </li> - <li class="chapter " data-level="8.3.3" data-path="../recommend/movielens_fm.html"> + <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html"> <a href="../recommend/movielens_fm.html"> - <b>8.3.3.</b> + <b>9.3.4.</b> Factorization Machine @@ -1588,12 +1655,12 @@ </li> - <li class="chapter " data-level="8.3.4" data-path="../recommend/movielens_cv.html"> + <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_cv.html"> <a href="../recommend/movielens_cv.html"> - <b>8.3.4.</b> + <b>9.3.5.</b> 10-fold Cross Validation (Matrix Factorization) @@ -1611,16 +1678,16 @@ - <li class="header">Part IX - Anomaly Detection</li> + <li class="header">Part X - Anomaly Detection</li> - <li class="chapter " data-level="9.1" data-path="lof.html"> + <li class="chapter " data-level="10.1" data-path="lof.html"> <a href="lof.html"> - <b>9.1.</b> + <b>10.1.</b> Outlier Detection using Local Outlier Factor (LOF) @@ -1630,12 +1697,12 @@ </li> - <li class="chapter " data-level="9.2" data-path="sst.html"> + <li class="chapter " data-level="10.2" data-path="sst.html"> <a href="sst.html"> - <b>9.2.</b> + <b>10.2.</b> Change-Point Detection using Singular Spectrum Transformation (SST) @@ -1645,12 +1712,12 @@ </li> - <li class="chapter active" data-level="9.3" data-path="changefinder.html"> + <li class="chapter active" data-level="10.3" data-path="changefinder.html"> <a href="changefinder.html"> - <b>9.3.</b> + <b>10.3.</b> ChangeFinder: Detecting Outlier and Change-Point Simultaneously @@ -1663,16 +1730,16 @@ - <li class="header">Part X - Clustering</li> + <li class="header">Part XI - Clustering</li> - <li class="chapter " data-level="10.1" data-path="../clustering/lda.html"> + <li class="chapter " data-level="11.1" data-path="../clustering/lda.html"> <a href="../clustering/lda.html"> - <b>10.1.</b> + <b>11.1.</b> Latent Dirichlet Allocation @@ -1682,12 +1749,12 @@ </li> - <li class="chapter " data-level="10.2" data-path="../clustering/plsa.html"> + <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html"> <a href="../clustering/plsa.html"> - <b>10.2.</b> + <b>11.2.</b> Probabilistic Latent Semantic Analysis @@ -1700,16 +1767,16 @@ - <li class="header">Part XI - GeoSpatial functions</li> + <li class="header">Part XII - GeoSpatial functions</li> - <li class="chapter " data-level="11.1" data-path="../geospatial/latlon.html"> + <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html"> <a href="../geospatial/latlon.html"> - <b>11.1.</b> + <b>12.1.</b> Lat/Lon functions @@ -1722,16 +1789,16 @@ - <li class="header">Part XII - Hivemall on Spark</li> + <li class="header">Part XIII - Hivemall on Spark</li> - <li class="chapter " data-level="12.1" data-path="../spark/getting_started/"> + <li class="chapter " data-level="13.1" data-path="../spark/getting_started/"> <a href="../spark/getting_started/"> - <b>12.1.</b> + <b>13.1.</b> Getting Started @@ -1742,12 +1809,12 @@ <ul class="articles"> - <li class="chapter " data-level="12.1.1" data-path="../spark/getting_started/installation.html"> + <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html"> <a href="../spark/getting_started/installation.html"> - <b>12.1.1.</b> + <b>13.1.1.</b> Installation @@ -1762,12 +1829,12 @@ </li> - <li class="chapter " data-level="12.2" data-path="../spark/binaryclass/"> + <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/"> <a href="../spark/binaryclass/"> - <b>12.2.</b> + <b>13.2.</b> Binary Classification @@ -1778,12 +1845,12 @@ <ul class="articles"> - <li class="chapter " data-level="12.2.1" data-path="../spark/binaryclass/a9a_df.html"> + <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html"> <a href="../spark/binaryclass/a9a_df.html"> - <b>12.2.1.</b> + <b>13.2.1.</b> a9a Tutorial for DataFrame @@ -1798,12 +1865,12 @@ </li> - <li class="chapter " data-level="12.3" data-path="../spark/binaryclass/"> + <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/"> <a href="../spark/binaryclass/"> - <b>12.3.</b> + <b>13.3.</b> Regression @@ -1814,12 +1881,12 @@ <ul class="articles"> - <li class="chapter " data-level="12.3.1" data-path="../spark/regression/e2006_df.html"> + <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html"> <a href="../spark/regression/e2006_df.html"> - <b>12.3.1.</b> + <b>13.3.1.</b> E2006-tfidf regression Tutorial for DataFrame @@ -1834,12 +1901,12 @@ </li> - <li class="chapter " data-level="12.4" data-path="../spark/misc/misc.html"> + <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html"> <a href="../spark/misc/misc.html"> - <b>12.4.</b> + <b>13.4.</b> Generic features @@ -1850,12 +1917,12 @@ <ul class="articles"> - <li class="chapter " data-level="12.4.1" data-path="../spark/misc/topk_join.html"> + <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html"> <a href="../spark/misc/topk_join.html"> - <b>12.4.1.</b> + <b>13.4.1.</b> Top-k Join processing @@ -1865,12 +1932,12 @@ </li> - <li class="chapter " data-level="12.4.2" data-path="../spark/misc/functions.html"> + <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html"> <a href="../spark/misc/functions.html"> - <b>12.4.2.</b> + <b>13.4.2.</b> Other utility functions @@ -1888,16 +1955,16 @@ - <li class="header">Part XIII - Hivemall on Docker</li> + <li class="header">Part XIV - Hivemall on Docker</li> - <li class="chapter " data-level="13.1" data-path="../docker/getting_started.html"> + <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html"> <a href="../docker/getting_started.html"> - <b>13.1.</b> + <b>14.1.</b> Getting Started @@ -1914,12 +1981,12 @@ - <li class="chapter " data-level="14.1" > + <li class="chapter " data-level="15.1" > <a target="_blank" href="https://github.com/maropu/hivemall-spark";> - <b>14.1.</b> + <b>15.1.</b> Hivemall on Apache Spark @@ -1929,12 +1996,12 @@ </li> - <li class="chapter " data-level="14.2" > + <li class="chapter " data-level="15.2" > <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome";> - <b>14.2.</b> + <b>15.2.</b> Hivemall on Apache Pig @@ -2253,7 +2320,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"9.3","depth":1,"next":{"title":"Latent Dirichlet Allocation","level":"10.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"previous":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"9.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url ":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print ":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"anomaly/changefinder.md","mtime":"2017-05-11T07:09:12.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-06-06T07:26:41.211Z"},"basePath":"..","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"next":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"previous":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"gi thub":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook. css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"anomaly/changefinder.md","mtime":"2017-05-11T07:50:39.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-06-15T10:33:21.138Z"},"basePath":"..","book":{"language":""}}); }); </script> </div>
