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Posted to commits@hivemall.apache.org by my...@apache.org on 2019/04/19 07:12:06 UTC
[incubator-hivemall-site] 01/01: Update userguide
This is an automated email from the ASF dual-hosted git repository.
myui pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-hivemall-site.git
commit 8395e3a7aa54451711f41dcf5e7703ca993abab6
Author: Makoto Yui <my...@apache.org>
AuthorDate: Fri Apr 19 16:11:26 2019 +0900
Update userguide
---
userguide/anomaly/changefinder.html | 2 +-
userguide/anomaly/lof.html | 2 +-
userguide/anomaly/sst.html | 2 +-
userguide/binaryclass/a9a.html | 2 +-
userguide/binaryclass/a9a_dataset.html | 2 +-
userguide/binaryclass/a9a_generic.html | 2 +-
userguide/binaryclass/a9a_lr.html | 2 +-
userguide/binaryclass/a9a_minibatch.html | 2 +-
userguide/binaryclass/criteo.html | 2 +-
userguide/binaryclass/criteo_dataset.html | 2 +-
userguide/binaryclass/criteo_ffm.html | 2 +-
userguide/binaryclass/general.html | 2 +-
userguide/binaryclass/kdd2010a.html | 2 +-
userguide/binaryclass/kdd2010a_dataset.html | 2 +-
userguide/binaryclass/kdd2010a_scw.html | 2 +-
userguide/binaryclass/kdd2010b.html | 2 +-
userguide/binaryclass/kdd2010b_arow.html | 2 +-
userguide/binaryclass/kdd2010b_dataset.html | 2 +-
userguide/binaryclass/news20.html | 2 +-
userguide/binaryclass/news20_adagrad.html | 2 +-
userguide/binaryclass/news20_dataset.html | 2 +-
userguide/binaryclass/news20_generic.html | 2 +-
userguide/binaryclass/news20_pa.html | 2 +-
userguide/binaryclass/news20_rf.html | 2 +-
userguide/binaryclass/news20_scw.html | 2 +-
userguide/binaryclass/titanic_rf.html | 2 +-
userguide/binaryclass/webspam.html | 2 +-
userguide/binaryclass/webspam_dataset.html | 2 +-
userguide/binaryclass/webspam_scw.html | 2 +-
userguide/clustering/lda.html | 2 +-
userguide/clustering/plsa.html | 2 +-
userguide/docker/getting_started.html | 2 +-
userguide/eval/auc.html | 2 +-
userguide/eval/binary_classification_measures.html | 2 +-
userguide/eval/datagen.html | 2 +-
userguide/eval/lr_datagen.html | 2 +-
.../eval/multilabel_classification_measures.html | 2 +-
userguide/eval/rank.html | 2 +-
userguide/eval/regression.html | 2 +-
userguide/ft_engineering/binarize.html | 22 +++++++-
userguide/ft_engineering/binning.html | 2 +-
userguide/ft_engineering/bm25.html | 2 +-
userguide/ft_engineering/ft_trans.html | 2 +-
userguide/ft_engineering/hashing.html | 2 +-
userguide/ft_engineering/pairing.html | 2 +-
userguide/ft_engineering/polynomial.html | 2 +-
userguide/ft_engineering/quantify.html | 2 +-
userguide/ft_engineering/scaling.html | 2 +-
userguide/ft_engineering/selection.html | 2 +-
userguide/ft_engineering/term_vector.html | 2 +-
userguide/ft_engineering/tfidf.html | 2 +-
userguide/ft_engineering/vectorization.html | 2 +-
userguide/geospatial/latlon.html | 2 +-
userguide/getting_started/index.html | 2 +-
userguide/getting_started/input-format.html | 2 +-
userguide/getting_started/installation.html | 2 +-
userguide/getting_started/permanent-functions.html | 2 +-
userguide/index.html | 2 +-
userguide/misc/approx.html | 2 +-
userguide/misc/funcs.html | 63 ++++++++++++++++++----
userguide/misc/generic_funcs.html | 2 +-
userguide/misc/tokenizer.html | 24 ++++++++-
userguide/misc/topk.html | 2 +-
userguide/multiclass/iris.html | 2 +-
userguide/multiclass/iris_dataset.html | 2 +-
userguide/multiclass/iris_randomforest.html | 2 +-
userguide/multiclass/iris_scw.html | 2 +-
userguide/multiclass/news20.html | 2 +-
userguide/multiclass/news20_dataset.html | 2 +-
userguide/multiclass/news20_ensemble.html | 2 +-
userguide/multiclass/news20_one-vs-the-rest.html | 2 +-
.../multiclass/news20_one-vs-the-rest_dataset.html | 2 +-
userguide/multiclass/news20_pa.html | 2 +-
userguide/multiclass/news20_scw.html | 2 +-
userguide/recommend/cf.html | 2 +-
userguide/recommend/item_based_cf.html | 2 +-
userguide/recommend/movielens.html | 2 +-
userguide/recommend/movielens_cf.html | 2 +-
userguide/recommend/movielens_cv.html | 2 +-
userguide/recommend/movielens_dataset.html | 2 +-
userguide/recommend/movielens_fm.html | 2 +-
userguide/recommend/movielens_mf.html | 2 +-
userguide/recommend/movielens_slim.html | 2 +-
userguide/recommend/news20.html | 2 +-
userguide/recommend/news20_bbit_minhash.html | 2 +-
userguide/recommend/news20_jaccard.html | 2 +-
userguide/recommend/news20_knn.html | 2 +-
userguide/regression/e2006.html | 2 +-
userguide/regression/e2006_arow.html | 2 +-
userguide/regression/e2006_dataset.html | 2 +-
userguide/regression/e2006_generic.html | 2 +-
userguide/regression/general.html | 2 +-
userguide/regression/kddcup12tr2.html | 2 +-
userguide/regression/kddcup12tr2_adagrad.html | 2 +-
userguide/regression/kddcup12tr2_dataset.html | 2 +-
userguide/regression/kddcup12tr2_lr.html | 2 +-
userguide/regression/kddcup12tr2_lr_amplify.html | 2 +-
userguide/search_index.json | 2 +-
userguide/spark/binaryclass/a9a_df.html | 2 +-
userguide/spark/binaryclass/a9a_sql.html | 2 +-
userguide/spark/binaryclass/index.html | 2 +-
userguide/spark/getting_started/index.html | 2 +-
userguide/spark/getting_started/installation.html | 2 +-
userguide/spark/misc/functions.html | 2 +-
userguide/spark/misc/misc.html | 2 +-
userguide/spark/misc/topk_join.html | 2 +-
userguide/spark/regression/e2006_df.html | 2 +-
userguide/spark/regression/e2006_sql.html | 2 +-
userguide/supervised_learning/prediction.html | 2 +-
userguide/supervised_learning/tutorial.html | 2 +-
userguide/tips/addbias.html | 2 +-
userguide/tips/emr.html | 2 +-
userguide/tips/ensemble_learning.html | 2 +-
userguide/tips/general_tips.html | 2 +-
userguide/tips/hadoop_tuning.html | 5 +-
userguide/tips/index.html | 2 +-
userguide/tips/mixserver.html | 2 +-
userguide/tips/rand_amplify.html | 2 +-
userguide/tips/rowid.html | 2 +-
userguide/tips/rt_prediction.html | 2 +-
userguide/troubleshooting/asterisk.html | 2 +-
userguide/troubleshooting/index.html | 2 +-
userguide/troubleshooting/mapjoin_classcastex.html | 2 +-
userguide/troubleshooting/mapjoin_task_error.html | 2 +-
userguide/troubleshooting/num_mappers.html | 2 +-
userguide/troubleshooting/oom.html | 2 +-
126 files changed, 221 insertions(+), 137 deletions(-)
diff --git a/userguide/anomaly/changefinder.html b/userguide/anomaly/changefinder.html
index 3329456..480786e 100644
--- a/userguide/anomaly/changefinder.html
+++ b/userguide/anomaly/changefinder.html
@@ -2623,7 +2623,7 @@ 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":"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" [...]
+ 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" [...]
});
</script>
</div>
diff --git a/userguide/anomaly/lof.html b/userguide/anomaly/lof.html
index ddd0791..4b5aa60 100644
--- a/userguide/anomaly/lof.html
+++ b/userguide/anomaly/lof.html
@@ -2601,7 +2601,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"10.1","depth":1,"next":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"previous":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"dir":"l [...]
+ gitbook.page.hasChanged({"page":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"10.1","depth":1,"next":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"previous":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"dir":"l [...]
});
</script>
</div>
diff --git a/userguide/anomaly/sst.html b/userguide/anomaly/sst.html
index 0fe9a3f..f9c8a84 100644
--- a/userguide/anomaly/sst.html
+++ b/userguide/anomaly/sst.html
@@ -2609,7 +2609,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"10.2","depth":1,"next":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"previous":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"10.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[ [...]
+ gitbook.page.hasChanged({"page":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"10.2","depth":1,"next":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"previous":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"10.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[ [...]
});
</script>
</div>
diff --git a/userguide/binaryclass/a9a.html b/userguide/binaryclass/a9a.html
index 0b43f68..6ac9633 100644
--- a/userguide/binaryclass/a9a.html
+++ b/userguide/binaryclass/a9a.html
@@ -2432,7 +2432,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"a9a Tutorial","level":"6.2","depth":1,"next":{"title":"Data Preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"previous":{"title":"Binary Classification","level":"6.1","depth":1,"path":"binaryclass/general.md","ref":"binaryclass/general.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts"," [...]
+ gitbook.page.hasChanged({"page":{"title":"a9a Tutorial","level":"6.2","depth":1,"next":{"title":"Data Preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"previous":{"title":"Binary Classification","level":"6.1","depth":1,"path":"binaryclass/general.md","ref":"binaryclass/general.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts"," [...]
});
</script>
</div>
diff --git a/userguide/binaryclass/a9a_dataset.html b/userguide/binaryclass/a9a_dataset.html
index e22bd67..b344fd3 100644
--- a/userguide/binaryclass/a9a_dataset.html
+++ b/userguide/binaryclass/a9a_dataset.html
@@ -2462,7 +2462,7 @@ 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":"6.2.1","depth":2,"next":{"title":"General Binary Classifier","level":"6.2.2","depth":2,"path":"binaryclass/a9a_generic.md","ref":"binaryclass/a9a_generic.md","articles":[]},"previous":{"title":"a9a Tutorial","level":"6.2","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data Preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a [...]
+ gitbook.page.hasChanged({"page":{"title":"Data Preparation","level":"6.2.1","depth":2,"next":{"title":"General Binary Classifier","level":"6.2.2","depth":2,"path":"binaryclass/a9a_generic.md","ref":"binaryclass/a9a_generic.md","articles":[]},"previous":{"title":"a9a Tutorial","level":"6.2","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data Preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a [...]
});
</script>
</div>
diff --git a/userguide/binaryclass/a9a_generic.html b/userguide/binaryclass/a9a_generic.html
index 7855ece..541e01a 100644
--- a/userguide/binaryclass/a9a_generic.html
+++ b/userguide/binaryclass/a9a_generic.html
@@ -2560,7 +2560,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"General Binary Classifier","level":"6.2.2","depth":2,"next":{"title":"Logistic Regression","level":"6.2.3","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"previous":{"title":"Data Preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc" [...]
+ gitbook.page.hasChanged({"page":{"title":"General Binary Classifier","level":"6.2.2","depth":2,"next":{"title":"Logistic Regression","level":"6.2.3","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"previous":{"title":"Data Preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc" [...]
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</div>
diff --git a/userguide/binaryclass/a9a_lr.html b/userguide/binaryclass/a9a_lr.html
index 14ffef8..684a0a3 100644
--- a/userguide/binaryclass/a9a_lr.html
+++ b/userguide/binaryclass/a9a_lr.html
@@ -2505,7 +2505,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Logistic Regression","level":"6.2.3","depth":2,"next":{"title":"Mini-batch Gradient Descent","level":"6.2.4","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]},"previous":{"title":"General Binary Classifier","level":"6.2.2","depth":2,"path":"binaryclass/a9a_generic.md","ref":"binaryclass/a9a_generic.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","s [...]
+ gitbook.page.hasChanged({"page":{"title":"Logistic Regression","level":"6.2.3","depth":2,"next":{"title":"Mini-batch Gradient Descent","level":"6.2.4","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]},"previous":{"title":"General Binary Classifier","level":"6.2.2","depth":2,"path":"binaryclass/a9a_generic.md","ref":"binaryclass/a9a_generic.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","s [...]
});
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</div>
diff --git a/userguide/binaryclass/a9a_minibatch.html b/userguide/binaryclass/a9a_minibatch.html
index 2318580..fc79754 100644
--- a/userguide/binaryclass/a9a_minibatch.html
+++ b/userguide/binaryclass/a9a_minibatch.html
@@ -2478,7 +2478,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Mini-batch Gradient Descent","level":"6.2.4","depth":2,"next":{"title":"News20 Tutorial","level":"6.3","depth":1,"path":"binaryclass/news20.md","ref":"binaryclass/news20.md","articles":[{"title":"Data Preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref [...]
+ gitbook.page.hasChanged({"page":{"title":"Mini-batch Gradient Descent","level":"6.2.4","depth":2,"next":{"title":"News20 Tutorial","level":"6.3","depth":1,"path":"binaryclass/news20.md","ref":"binaryclass/news20.md","articles":[{"title":"Data Preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref [...]
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</div>
diff --git a/userguide/binaryclass/criteo.html b/userguide/binaryclass/criteo.html
index 7f0d93c..fa91152 100644
--- a/userguide/binaryclass/criteo.html
+++ b/userguide/binaryclass/criteo.html
@@ -2433,7 +2433,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Criteo Tutorial","level":"6.8","depth":1,"next":{"title":"Data Preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","ref":"binaryclass/criteo_dataset.md","articles":[]},"previous":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"path":"binaryclass/titanic_rf.md","ref":"binaryclass/titanic_rf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","e [...]
+ gitbook.page.hasChanged({"page":{"title":"Criteo Tutorial","level":"6.8","depth":1,"next":{"title":"Data Preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","ref":"binaryclass/criteo_dataset.md","articles":[]},"previous":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"path":"binaryclass/titanic_rf.md","ref":"binaryclass/titanic_rf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","e [...]
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diff --git a/userguide/binaryclass/criteo_dataset.html b/userguide/binaryclass/criteo_dataset.html
index 14df5c1..734ac33 100644
--- a/userguide/binaryclass/criteo_dataset.html
+++ b/userguide/binaryclass/criteo_dataset.html
@@ -2495,7 +2495,7 @@ 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":"6.8.1","depth":2,"next":{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"path":"binaryclass/criteo_ffm.md","ref":"binaryclass/criteo_ffm.md","articles":[]},"previous":{"title":"Criteo Tutorial","level":"6.8","depth":1,"path":"binaryclass/criteo.md","ref":"binaryclass/criteo.md","articles":[{"title":"Data Preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","re [...]
+ gitbook.page.hasChanged({"page":{"title":"Data Preparation","level":"6.8.1","depth":2,"next":{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"path":"binaryclass/criteo_ffm.md","ref":"binaryclass/criteo_ffm.md","articles":[]},"previous":{"title":"Criteo Tutorial","level":"6.8","depth":1,"path":"binaryclass/criteo.md","ref":"binaryclass/criteo.md","articles":[{"title":"Data Preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","re [...]
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diff --git a/userguide/binaryclass/criteo_ffm.html b/userguide/binaryclass/criteo_ffm.html
index d2f181e..8d8a616 100644
--- a/userguide/binaryclass/criteo_ffm.html
+++ b/userguide/binaryclass/criteo_ffm.html
@@ -2729,7 +2729,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
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+ gitbook.page.hasChanged({"page":{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"next":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"path":"multiclass/news20.md","ref":"multiclass/news20.md","articles":[{"title":"Data Preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"Data Preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path" [...]
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</div>
diff --git a/userguide/binaryclass/general.html b/userguide/binaryclass/general.html
index 9614a2b..baeefd3 100644
--- a/userguide/binaryclass/general.html
+++ b/userguide/binaryclass/general.html
@@ -2538,7 +2538,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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+++ b/userguide/ft_engineering/binarize.html
@@ -2359,7 +2359,25 @@
<section class="normal markdown-section">
- <h2 id="introduction">Introduction</h2>
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<h2 id="introduction">Introduction</h2>
<p>Expanding numeric labels to actual count of samples can contribute to accuracy improvement in some cases. <code>binarize_label</code> explode a record that keeps the count of positive/negative labeled samples into corresponding actual count of samples. For example,</p>
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+++ b/userguide/ft_engineering/pairing.html
@@ -2432,7 +2432,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/ft_engineering/polynomial.html b/userguide/ft_engineering/polynomial.html
index b0ad869..a9e311f 100644
--- a/userguide/ft_engineering/polynomial.html
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diff --git a/userguide/ft_engineering/quantify.html b/userguide/ft_engineering/quantify.html
index 52349b7..378cb1c 100644
--- a/userguide/ft_engineering/quantify.html
+++ b/userguide/ft_engineering/quantify.html
@@ -2580,7 +2580,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/ft_engineering/scaling.html b/userguide/ft_engineering/scaling.html
index 8240afb..cdb55ae 100644
--- a/userguide/ft_engineering/scaling.html
+++ b/userguide/ft_engineering/scaling.html
@@ -2607,7 +2607,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/ft_engineering/selection.html b/userguide/ft_engineering/selection.html
index 615ff53..86b92c4 100644
--- a/userguide/ft_engineering/selection.html
+++ b/userguide/ft_engineering/selection.html
@@ -2639,7 +2639,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index d9c3a2a..8595cf7 100644
--- a/userguide/ft_engineering/term_vector.html
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@@ -2434,7 +2434,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index f2faa6c..3c9334b 100644
--- a/userguide/ft_engineering/tfidf.html
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@@ -2573,7 +2573,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/ft_engineering/vectorization.html b/userguide/ft_engineering/vectorization.html
index fcd4f78..0f8f759 100644
--- a/userguide/ft_engineering/vectorization.html
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@@ -2470,7 +2470,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/geospatial/latlon.html b/userguide/geospatial/latlon.html
index 35f4a7e..2c6a2b1 100644
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@@ -2609,7 +2609,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/getting_started/index.html b/userguide/getting_started/index.html
index 0d63a4d..c84aa6a 100644
--- a/userguide/getting_started/index.html
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@@ -2433,7 +2433,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/getting_started/input-format.html b/userguide/getting_started/input-format.html
index bdc72e8..ba5d0c1 100644
--- a/userguide/getting_started/input-format.html
+++ b/userguide/getting_started/input-format.html
@@ -2621,7 +2621,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/getting_started/installation.html b/userguide/getting_started/installation.html
index 63d917c..54655cd 100644
--- a/userguide/getting_started/installation.html
+++ b/userguide/getting_started/installation.html
@@ -2462,7 +2462,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/getting_started/permanent-functions.html b/userguide/getting_started/permanent-functions.html
index 349baae..f48333a 100644
--- a/userguide/getting_started/permanent-functions.html
+++ b/userguide/getting_started/permanent-functions.html
@@ -2465,7 +2465,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/index.html b/userguide/index.html
index 9e86843..044c7ad 100644
--- a/userguide/index.html
+++ b/userguide/index.html
@@ -2443,7 +2443,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/misc/approx.html b/userguide/misc/approx.html
index f8c98ee..0839b45 100644
--- a/userguide/misc/approx.html
+++ b/userguide/misc/approx.html
@@ -2521,7 +2521,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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var gitbook = gitbook || [];
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diff --git a/userguide/misc/funcs.html b/userguide/misc/funcs.html
index 1e7281f..f732c7b 100644
--- a/userguide/misc/funcs.html
+++ b/userguide/misc/funcs.html
@@ -2416,25 +2416,58 @@
</li>
<li><a href="#decision-trees-and-randomforest">Decision trees and RandomForest</a></li>
<li><a href="#xgboost">XGBoost</a></li>
+<li><a href="#term-vector-model">Term Vector Model</a></li>
<li><a href="#others">Others</a></li>
</ul>
</div><!-- tocstop -->
<h1 id="regression">Regression</h1>
<ul>
-<li><p><code>train_arow_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight, float covar></p>
-</li>
-<li><p><code>train_arowe2_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight, float covar></p>
+<li><code>train_arow_regr(array<int|bigint|string> features, float target [, constant string options])</code> - a standard AROW (Adaptive Reguralization of Weight Vectors) regressor that uses <code>y - w^Tx</code> for the loss function.<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span>
+ feature,
+ argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight
+<span class="hljs-keyword">FROM</span> (
+ <span class="hljs-keyword">SELECT</span>
+ train_arow_regr(features,label) <span class="hljs-keyword">as</span> (feature,weight,covar)
+ <span class="hljs-keyword">FROM</span>
+ training_data
+ ) t
+<span class="hljs-keyword">GROUP</span> <span class="hljs-keyword">BY</span> feature
+</code></pre>
+Reference: <a href="https://papers.nips.cc/paper/3848-adaptive-regularization-of-weight-vectors.pdf" target="_blank">K. Crammer, A. Kulesza, and M. Dredze, "Adaptive Regularization of Weight Vectors", In Proc. NIPS, 2009.</a><br></li>
+<li><p><code>train_arowe2_regr(array<int|bigint|string> features, float target [, constant string options])</code> - a refined version of AROW (Adaptive Reguralization of Weight Vectors) regressor that usages adaptive epsilon-insensitive hinge loss <code>|w^t - y| - epsilon * stddev</code> for the loss function</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span>
+ feature,
+ argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight
+<span class="hljs-keyword">FROM</span> (
+ <span class="hljs-keyword">SELECT</span>
+ train_arowe2_regr(features,label) <span class="hljs-keyword">as</span> (feature,weight,covar)
+ <span class="hljs-keyword">FROM</span>
+ training_data
+ ) t
+<span class="hljs-keyword">GROUP</span> <span class="hljs-keyword">BY</span> feature
+</code></pre>
</li>
-<li><p><code>train_arowe_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight, float covar></p>
+<li><p><code>train_arowe_regr(array<int|bigint|string> features, float target [, constant string options])</code> - a refined version of AROW (Adaptive Reguralization of Weight Vectors) regressor that usages epsilon-insensitive hinge loss <code>|w^t - y| - epsilon</code> for the loss function</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span>
+ feature,
+ argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight
+<span class="hljs-keyword">FROM</span> (
+ <span class="hljs-keyword">SELECT</span>
+ train_arowe_regr(features,label) <span class="hljs-keyword">as</span> (feature,weight,covar)
+ <span class="hljs-keyword">FROM</span>
+ training_data
+ ) t
+<span class="hljs-keyword">GROUP</span> <span class="hljs-keyword">BY</span> feature
+</code></pre>
</li>
-<li><p><code>train_pa1_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight></p>
+<li><p><code>train_pa1_regr(array<int|bigint|string> features, float target [, constant string options])</code> - PA-1 regressor that returns a relation consists of <code>&lt;int|bigint|string&gt; feature, float weight</code>. Find PA-1 algorithm detail in <a href="http://jmlr.csail.mit.edu/papers/volume7/crammer06a/crammer06a.pdf" target="_blank">http://jmlr.csail.mit.edu/papers/volume7/crammer06a/crammer06a.pdf</a></p>
</li>
-<li><p><code>train_pa1a_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight></p>
+<li><p><code>train_pa1a_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <code>&lt;int|bigint|string&gt; feature, float weight</code>.</p>
</li>
-<li><p><code>train_pa2_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight></p>
+<li><p><code>train_pa2_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <code>&lt;int|bigint|string&gt; feature, float weight</code>.</p>
</li>
-<li><p><code>train_pa2a_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <{int|bigint|string} feature, float weight></p>
+<li><p><code>train_pa2a_regr(array<int|bigint|string> features, float target [, constant string options])</code> - Returns a relation consists of <code>&lt;int|bigint|string&gt; feature, float weight</code>.</p>
</li>
<li><p><code>train_regressor(list<string|int|bigint> features, double label [, const string options])</code> - Returns a relation consists of <string|int|bigint feature, float weight></p>
<pre><code>Build a prediction model by a generic regressor
@@ -2447,7 +2480,8 @@
</li>
<li><p><code>train_arow(list<string|int|bigint> features, int label [, const string options])</code> - Returns a relation consists of <string|int|bigint feature, float weight, float covar></p>
<pre><code>Build a prediction model by Adaptive Regularization of Weight Vectors (AROW) binary classifier
-</code></pre></li>
+</code></pre><p>Reference: <a href="https://papers.nips.cc/paper/3848-adaptive-regularization-of-weight-vectors.pdf" target="_blank">K. Crammer, A. Kulesza, and M. Dredze, "Adaptive Regularization of Weight Vectors", In Proc. NIPS, 2009.</a><br></p>
+</li>
<li><p><code>train_arowh(list<string|int|bigint> features, int label [, const string options])</code> - Returns a relation consists of <string|int|bigint feature, float weight, float covar></p>
<pre><code>Build a prediction model by AROW binary classifier using hinge loss
</code></pre></li>
@@ -2891,6 +2925,13 @@ bloom <span class="hljs-keyword">as</span> (
<li><p><code>xgboost_predict(string rowid, string[] features, string model_id, array<byte> pred_model [, string options])</code> - Returns a prediction result as (string rowid, float predicted)</p>
</li>
</ul>
+<h1 id="term-vector-model">Term Vector Model</h1>
+<ul>
+<li><p><code>bm25(double termFrequency, int docLength, double avgDocLength, int numDocs, int numDocsWithTerm [, const string options])</code> - Return an Okapi BM25 score in double. Refer <a href="http://hivemall.incubator.apache.org/userguide/ft_engineering/bm25.html" target="_blank">http://hivemall.incubator.apache.org/userguide/ft_engineering/bm25.html</a> for usage</p>
+</li>
+<li><p><code>tf(string text)</code> - Return a term frequency in <string, float></p>
+</li>
+</ul>
<h1 id="others">Others</h1>
<ul>
<li><p><code>hivemall_version()</code> - Returns the version of Hivemall</p>
@@ -2901,7 +2942,7 @@ bloom <span class="hljs-keyword">as</span> (
<pre><code class="lang-sql">WITH dual AS (<span class="hljs-keyword">SELECT</span> <span class="hljs-number">1</span>) <span class="hljs-keyword">SELECT</span> lr_datagen(<span class="hljs-string">'-n_examples 1k -n_features 10'</span>) <span class="hljs-keyword">FROM</span> dual;
</code></pre>
</li>
-<li><p><code>bm25(double termFrequency, int docLength, double avgDocLength, int numDocs, int numDocsWithTerm [, const string options])</code> - Return an Okapi BM25 score in double</p>
+<li><p><code>bm25(double termFrequency, int docLength, double avgDocLength, int numDocs, int numDocsWithTerm [, const string options])</code> - Return an Okapi BM25 score in double. Refer <a href="http://hivemall.incubator.apache.org/userguide/ft_engineering/bm25.html" target="_blank">http://hivemall.incubator.apache.org/userguide/ft_engineering/bm25.html</a> for usage</p>
</li>
<li><p><code>tf(string text)</code> - Return a term frequency in <string, float></p>
</li>
@@ -2961,7 +3002,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"List of Functions","level":"1.3","depth":1,"next":{"title":"Tips for Effective Hivemall","level":"1.4","depth":1,"path":"tips/README.md","ref":"tips/README.md","articles":[{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},{"title":"Use rand_amplify() to better prediction results","level":"1.4.2","depth":2,"path":"tips/rand_amplify.md","ref":"t [...]
+ gitbook.page.hasChanged({"page":{"title":"List of Functions","level":"1.3","depth":1,"next":{"title":"Tips for Effective Hivemall","level":"1.4","depth":1,"path":"tips/README.md","ref":"tips/README.md","articles":[{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},{"title":"Use rand_amplify() to better prediction results","level":"1.4.2","depth":2,"path":"tips/rand_amplify.md","ref":"t [...]
});
</script>
</div>
diff --git a/userguide/misc/generic_funcs.html b/userguide/misc/generic_funcs.html
index 321221e..556f1e4 100644
--- a/userguide/misc/generic_funcs.html
+++ b/userguide/misc/generic_funcs.html
@@ -3144,7 +3144,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"next":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.md","articles":[]},"previous":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme [...]
+ gitbook.page.hasChanged({"page":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"next":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.md","articles":[]},"previous":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme [...]
});
</script>
</div>
diff --git a/userguide/misc/tokenizer.html b/userguide/misc/tokenizer.html
index b27fbce..28827d3 100644
--- a/userguide/misc/tokenizer.html
+++ b/userguide/misc/tokenizer.html
@@ -2418,6 +2418,28 @@
<blockquote>
<p>["を","使う","た","の","テスト","です"]</p>
</blockquote>
+<pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_ja(<span class="hljs-string">"kuromojiを使った分かち書きのテストです。"</span>, <span class="hljs-string">"normal"</span>, <span class="hljs-built_in">array</span>(<span class="hljs-string">"kuromoji"</span>), stoptags_exclude(<span class="hljs-built_in">array</span>(<span class="hljs-st [...]
+</code></pre>
+<blockquote>
+<p>["分かち書き","テスト"]</p>
+</blockquote>
+<p><code>stoptags_exclude(array<string> tags, [, const string lang='ja'])</code> is a useful UDF for getting <a href="https://github.com/apache/lucene-solr/blob/master/lucene/analysis/kuromoji/src/resources/org/apache/lucene/analysis/ja/stoptags.txt" target="_blank">stoptags</a> excluding given part-of-speech tags as seen below:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">select</span> stoptags_exclude(<span class="hljs-built_in">array</span>(<span class="hljs-string">"名詞-固有名詞"</span>));
+</code></pre>
+<blockquote>
+<p>["その他","その他-間投","フィラー","副詞","副詞-一般","副詞-助詞類接続","助動詞","助詞","助詞-並立助詞"
+,"助詞-係助詞","助詞-副助詞","助詞-副助詞／並立助詞／終助詞","助詞-副詞化","助詞-接続助詞","助詞-格助詞
+","助詞-格助詞-一般","助詞-格助詞-引用","助詞-格助詞-連語","助詞-特殊","助詞-終助詞","助詞-連体化","助
+詞-間投助詞","動詞","動詞-接尾","動詞-自立","動詞-非自立","名詞","名詞-サ変接続","名詞-ナイ形容詞語幹",
+"名詞-一般","名詞-代名詞","名詞-代名詞-一般","名詞-代名詞-縮約","名詞-副詞可能","名詞-動詞非自立的","名
+詞-引用文字列","名詞-形容動詞語幹","名詞-接尾","名詞-接尾-サ変接続","名詞-接尾-一般","名詞-接尾-人名","
+名詞-接尾-副詞可能","名詞-接尾-助動詞語幹","名詞-接尾-助数詞","名詞-接尾-地域","名詞-接尾-形容動詞語幹"
+,"名詞-接尾-特殊","名詞-接続詞的","名詞-数","名詞-特殊","名詞-特殊-助動詞語幹","名詞-非自立","名詞-非自
+立-一般","名詞-非自立-副詞可能","名詞-非自立-助動詞語幹","名詞-非自立-形容動詞語幹","形容詞","形容詞-接
+尾","形容詞-自立","形容詞-非自立","感動詞","接続詞","接頭詞","接頭詞-動詞接続","接頭詞-名詞接続","接頭
+詞-形容詞接続","接頭詞-数接","未知語","記号","記号-アルファベット","記号-一般","記号-句点","記号-括弧閉
+","記号-括弧開","記号-空白","記号-読点","語断片","連体詞","非言語音"]</p>
+</blockquote>
<p>Moreover, the fifth argument <code>userDict</code> enables you to register a user-defined custom dictionary in <a href="https://github.com/atilika/kuromoji/blob/909fd6b32bf4e9dc86b7599de5c9b50ca8f004a1/kuromoji-core/src/test/resources/userdict.txt" target="_blank">Kuromoji official format</a>:</p>
<pre><code class="lang-sql"><span class="hljs-keyword">select</span> tokenize_ja(<span class="hljs-string">"日本経済新聞＆関西国際空港"</span>, <span class="hljs-string">"normal"</span>, <span class="hljs-literal">null</span>, <span class="hljs-literal">null</span>,
<span class="hljs-built_in">array</span>(
@@ -2504,7 +2526,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Text Tokenizer","level":"2.3","depth":1,"next":{"title":"Approximate Aggregate Functions","level":"2.4","depth":1,"path":"misc/approx.md","ref":"misc/approx.md","articles":[]},"previous":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters"," [...]
+ gitbook.page.hasChanged({"page":{"title":"Text Tokenizer","level":"2.3","depth":1,"next":{"title":"Approximate Aggregate Functions","level":"2.4","depth":1,"path":"misc/approx.md","ref":"misc/approx.md","articles":[]},"previous":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters"," [...]
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diff --git a/userguide/misc/topk.html b/userguide/misc/topk.html
index e5fe206..3f7fbf8 100644
--- a/userguide/misc/topk.html
+++ b/userguide/misc/topk.html
@@ -3219,7 +3219,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"next":{"title":"Text Tokenizer","level":"2.3","depth":1,"path":"misc/tokenizer.md","ref":"misc/tokenizer.md","articles":[]},"previous":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"path":"misc/generic_funcs.md","ref":"misc/generic_funcs.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","ca [...]
+ gitbook.page.hasChanged({"page":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"next":{"title":"Text Tokenizer","level":"2.3","depth":1,"path":"misc/tokenizer.md","ref":"misc/tokenizer.md","articles":[]},"previous":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"path":"misc/generic_funcs.md","ref":"misc/generic_funcs.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","ca [...]
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diff --git a/userguide/multiclass/iris.html b/userguide/multiclass/iris.html
index 65909b6..d247558 100644
--- a/userguide/multiclass/iris.html
+++ b/userguide/multiclass/iris.html
@@ -2432,7 +2432,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Iris Tutorial","level":"7.2","depth":1,"next":{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},"previous":{"title":"one-vs-the-rest Classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","spl [...]
+ gitbook.page.hasChanged({"page":{"title":"Iris Tutorial","level":"7.2","depth":1,"next":{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},"previous":{"title":"one-vs-the-rest Classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","spl [...]
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diff --git a/userguide/multiclass/iris_dataset.html b/userguide/multiclass/iris_dataset.html
index 11b4c19..a71b8bf 100644
--- a/userguide/multiclass/iris_dataset.html
+++ b/userguide/multiclass/iris_dataset.html
@@ -2548,7 +2548,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
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+ gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"7.2.1","depth":2,"next":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},"previous":{"title":"Iris Tutorial","level":"7.2","depth":1,"path":"multiclass/iris.md","ref":"multiclass/iris.md","articles":[{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},{ [...]
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diff --git a/userguide/multiclass/iris_randomforest.html b/userguide/multiclass/iris_randomforest.html
index 37dc9f1..8368739 100644
--- a/userguide/multiclass/iris_randomforest.html
+++ b/userguide/multiclass/iris_randomforest.html
@@ -2793,7 +2793,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
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+ gitbook.page.hasChanged({"page":{"title":"Random Forest","level":"7.2.3","depth":2,"next":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.md","articles":[]},"previous":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","co [...]
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diff --git a/userguide/multiclass/iris_scw.html b/userguide/multiclass/iris_scw.html
index a62b50d..f7f3c9e 100644
--- a/userguide/multiclass/iris_scw.html
+++ b/userguide/multiclass/iris_scw.html
@@ -2486,7 +2486,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/multiclass/news20.html b/userguide/multiclass/news20.html
index d0babd3..56bee36 100644
--- a/userguide/multiclass/news20.html
+++ b/userguide/multiclass/news20.html
@@ -2432,7 +2432,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/multiclass/news20_dataset.html b/userguide/multiclass/news20_dataset.html
index 5cdb976..99e0405 100644
--- a/userguide/multiclass/news20_dataset.html
+++ b/userguide/multiclass/news20_dataset.html
@@ -2503,7 +2503,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index e0fbadd..2b2bbe5 100644
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diff --git a/userguide/spark/getting_started/installation.html b/userguide/spark/getting_started/installation.html
index 5915e3d..77fbb6b 100644
--- a/userguide/spark/getting_started/installation.html
+++ b/userguide/spark/getting_started/installation.html
@@ -2456,7 +2456,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index 2ee011f..ce2c640 100644
--- a/userguide/spark/misc/functions.html
+++ b/userguide/spark/misc/functions.html
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@@ -2501,7 +2501,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/spark/regression/e2006_sql.html b/userguide/spark/regression/e2006_sql.html
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diff --git a/userguide/supervised_learning/prediction.html b/userguide/supervised_learning/prediction.html
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@@ -2740,7 +2740,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/supervised_learning/tutorial.html b/userguide/supervised_learning/tutorial.html
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@@ -3012,7 +3012,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/tips/addbias.html b/userguide/tips/addbias.html
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@@ -2466,7 +2466,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/tips/emr.html b/userguide/tips/emr.html
index 3e2c808..ca0b0be 100644
--- a/userguide/tips/emr.html
+++ b/userguide/tips/emr.html
@@ -2608,7 +2608,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/tips/ensemble_learning.html b/userguide/tips/ensemble_learning.html
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--- a/userguide/tips/ensemble_learning.html
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@@ -2643,7 +2643,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/tips/general_tips.html b/userguide/tips/general_tips.html
index 34f02b8..36267d6 100644
--- a/userguide/tips/general_tips.html
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@@ -2432,7 +2432,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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diff --git a/userguide/tips/hadoop_tuning.html b/userguide/tips/hadoop_tuning.html
index 12f7077..41dd614 100644
--- a/userguide/tips/hadoop_tuning.html
+++ b/userguide/tips/hadoop_tuning.html
@@ -2384,6 +2384,7 @@
<li><a href="#mapper-side-configuration">Mapper-side configuration</a></li>
<li><a href="#reducer-side-configuration">Reducer-side configuration</a></li>
<li><a href="#formula-to-estimate-consumed-memory-in-hivemall">Formula to estimate consumed memory in Hivemall</a></li>
+<li><a href="#enable-cte-materialization">Enable CTE materialization</a></li>
<li><a href="#execution-engine-of-hive">Execution Engine of Hive</a></li>
</ul>
@@ -2437,6 +2438,8 @@ mapred.reduce.shuffle.input.buffer.percent=0.6 (MR v1)
<p>2^25 <em> 2 bytes </em> 2 * 1.2 ≈ 161MB</p>
</blockquote>
<p>Note: Hivemall uses a <a href="https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/model/SparseModel.java" target="_blank">sparse representation</a> of prediction model (using a hash table) by the default. Use "<a href="https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/LearnerBaseUDTF.java#L87" target="_blank">-densemodel</a>" option to use a dense model.</p>
+<h1 id="enable-cte-materialization">Enable CTE materialization</h1>
+<p><a href="https://issues.apache.org/jira/browse/HIVE-11752" target="_blank">Hive 2.1.0 or later</a> support CTE materialization through <code>hive.optimize.cte.materialize.threshold</code> option and it's recommended to <code>set hive.optimize.cte.materialize.threshold=2</code> when using Hivemall.</p>
<h1 id="execution-engine-of-hive">Execution Engine of Hive</h1>
<p>We recommend to use Apache Tez for execute engine of Hive for Hivemall queries.</p>
<pre><code class="lang-sql"><span class="hljs-keyword">set</span> mapreduce.framework.<span class="hljs-keyword">name</span>=yarn-tez;
@@ -2501,7 +2504,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/tips/index.html b/userguide/tips/index.html
index 55a982a..c9b9930 100644
--- a/userguide/tips/index.html
+++ b/userguide/tips/index.html
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diff --git a/userguide/tips/mixserver.html b/userguide/tips/mixserver.html
index 7d83abe..7437d30 100644
--- a/userguide/tips/mixserver.html
+++ b/userguide/tips/mixserver.html
@@ -2487,7 +2487,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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diff --git a/userguide/tips/rand_amplify.html b/userguide/tips/rand_amplify.html
index ecf71a0..b3e2953 100644
--- a/userguide/tips/rand_amplify.html
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@@ -2534,7 +2534,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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