[04/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/supervised_learning/prediction.html
--
diff --git a/userguide/supervised_learning/prediction.html 
b/userguide/supervised_learning/prediction.html
new file mode 100644
index 000..a4719e5
--- /dev/null
+++ b/userguide/supervised_learning/prediction.html
@@ -0,0 +1,2604 @@
+
+
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+
+How Prediction Works · Hivemall User Manual
+
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+http://hivemall.incubator.apache.org/; target="_blank" 
class="custom-link"> Home
+
+
+
+
+
+
+
+
+
+
+TABLE OF CONTENTS
+
+
+
+
+
+
+
+
+1.1.
+
+Introduction
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.
+
+Getting Started
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.1.
+
+Installation
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.2.
+
+Install as permanent functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.3.
+
+Input Format
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.3.
+
+List of Functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.
+
+Tips for Effective Hivemall
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.1.
+
+Explicit add_bias() for better prediction
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.2.
+
+Use rand_amplify() to better prediction results
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.3.
+
+Real-time prediction on RDBMS
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.4.
+
+Ensemble learning for stable prediction
+
+
+
+
+
+
+

[18/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/criteo_dataset.html
--
diff --git a/userguide/binaryclass/criteo_dataset.html 
b/userguide/binaryclass/criteo_dataset.html
new file mode 100644
index 000..cdc58d0
--- /dev/null
+++ b/userguide/binaryclass/criteo_dataset.html
@@ -0,0 +1,2474 @@
+
+
+
+
+
+
+Data preparation · Hivemall User Manual
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+
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+
+
+
+
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+
+
+
+
+
+
+http://hivemall.incubator.apache.org/; target="_blank" 
class="custom-link"> Home
+
+
+
+
+
+
+
+
+
+
+TABLE OF CONTENTS
+
+
+
+
+
+
+
+
+1.1.
+
+Introduction
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.
+
+Getting Started
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.1.
+
+Installation
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.2.
+
+Install as permanent functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.3.
+
+Input Format
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.3.
+
+List of Functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.
+
+Tips for Effective Hivemall
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.1.
+
+Explicit add_bias() for better prediction
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.2.
+
+Use rand_amplify() to better prediction results
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.3.
+
+Real-time prediction on RDBMS
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.4.
+
+Ensemble learning for stable prediction
+
+
+
+
+
+
+
+
+

[03/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/supervised_learning/tutorial.html
--
diff --git a/userguide/supervised_learning/tutorial.html 
b/userguide/supervised_learning/tutorial.html
new file mode 100644
index 000..0863296
--- /dev/null
+++ b/userguide/supervised_learning/tutorial.html
@@ -0,0 +1,2982 @@
+
+
+
+
+
+
+Step-by-Step Tutorial on Supervised Learning · Hivemall User 
Manual
+
+
+
+
+
+
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+
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+
+
+
+
+
+
+
+
+
+
+
+http://hivemall.incubator.apache.org/; target="_blank" 
class="custom-link"> Home
+
+
+
+
+
+
+
+
+
+
+TABLE OF CONTENTS
+
+
+
+
+
+
+
+
+1.1.
+
+Introduction
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.
+
+Getting Started
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.1.
+
+Installation
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.2.
+
+Install as permanent functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.3.
+
+Input Format
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.3.
+
+List of Functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.
+
+Tips for Effective Hivemall
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.1.
+
+Explicit add_bias() for better prediction
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.2.
+
+Use rand_amplify() to better prediction results
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.3.
+
+Real-time prediction on RDBMS
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.4.
+
+Ensemble learning for stable prediction
+
+
+
+
+

[11/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/misc/generic_funcs.html
--
diff --git a/userguide/misc/generic_funcs.html 
b/userguide/misc/generic_funcs.html
index d7972f6..7b596ca 100644
--- a/userguide/misc/generic_funcs.html
+++ b/userguide/misc/generic_funcs.html
@@ -861,9 +861,9 @@
 
 
 
-
+
 
-
+
 
 
 5.1.
@@ -876,6 +876,21 @@
 
 
 
+
+
+
+
+
+5.2.
+
+Step-by-Step Tutorial on Supervised Learning
+
+
+
+
+
+
+
 
 
 
@@ -1228,6 +1243,57 @@
 
 
 
+
+
+
+
+
+6.8.
+
+Criteo Tutorial
+
+
+
+
+
+
+
+
+
+
+
+
+
+6.8.1.
+
+Data preparation
+
+
+
+
+
+
+
+
+
+
+
+
+6.8.2.
+
+Field-Aware Factorization Machines
+
+
+
+
+
+
+
+
+
+
+
+
 
 
 
@@ -2862,7 +2928,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
 
 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 
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url":"

[06/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/sitemap.xml
--
diff --git a/userguide/sitemap.xml b/userguide/sitemap.xml
index 64eeb77..e79c582 100644
--- a/userguide/sitemap.xml
+++ b/userguide/sitemap.xml
@@ -43,7 +43,8 @@
  http://hivemall.incubator.apache.org/eval/rank.html 
weekly 0.5 
  http://hivemall.incubator.apache.org/eval/datagen.html 
weekly 0.5 
  http://hivemall.incubator.apache.org/eval/lr_datagen.html 
weekly 0.5 
- http://hivemall.incubator.apache.org/misc/prediction.html 
weekly 0.5 
+ 
http://hivemall.incubator.apache.org/supervised_learning/prediction.html
 weekly 0.5 
+ 
http://hivemall.incubator.apache.org/supervised_learning/tutorial.html
 weekly 0.5 
  http://hivemall.incubator.apache.org/binaryclass/general.html 
weekly 0.5 
  http://hivemall.incubator.apache.org/binaryclass/a9a.html 
weekly 0.5 
  
http://hivemall.incubator.apache.org/binaryclass/a9a_dataset.html 
weekly 0.5 
@@ -65,6 +66,9 @@
  
http://hivemall.incubator.apache.org/binaryclass/webspam_dataset.html
 weekly 0.5 
  
http://hivemall.incubator.apache.org/binaryclass/webspam_scw.html 
weekly 0.5 
  
http://hivemall.incubator.apache.org/binaryclass/titanic_rf.html 
weekly 0.5 
+ http://hivemall.incubator.apache.org/binaryclass/criteo.html 
weekly 0.5 
+ 
http://hivemall.incubator.apache.org/binaryclass/criteo_dataset.html 
weekly 0.5 
+ 
http://hivemall.incubator.apache.org/binaryclass/criteo_ffm.html 
weekly 0.5 
  http://hivemall.incubator.apache.org/multiclass/news20.html 
weekly 0.5 
  
http://hivemall.incubator.apache.org/multiclass/news20_dataset.html 
weekly 0.5 
  
http://hivemall.incubator.apache.org/multiclass/news20_one-vs-the-rest_dataset.html
 weekly 0.5 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/spark/binaryclass/a9a_df.html
--
diff --git a/userguide/spark/binaryclass/a9a_df.html 
b/userguide/spark/binaryclass/a9a_df.html
index 91d789b..1678115 100644
--- a/userguide/spark/binaryclass/a9a_df.html
+++ b/userguide/spark/binaryclass/a9a_df.html
@@ -861,9 +861,9 @@
 
 
 
-
+
 
-
+
 
 
 5.1.
@@ -876,6 +876,21 @@
 
 
 
+
+
+
+
+
+5.2.
+
+Step-by-Step Tutorial on Supervised Learning
+
+
+
+
+
+
+
 
 
 
@@ -1228,6 +1243,57 @@
 
 
 
+
+
+
+
+
+6.8.
+
+Criteo Tutorial
+
+
+
+
+
+
+
+
+
+
+
+
+
+6.8.1.
+
+Data preparation
+
+
+
+
+
+
+
+
+
+
+
+
+6.8.2.
+
+Field-Aware Factorization Machines
+
+
+
+
+
+
+
+
+
+
+
+
 
 
 
@@ -2335,7 +2401,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
 
 var gitbook = gitbook || [];
 gitbook.push(function() {
-gitbook.page.hasChanged({"page":{"title":"a9a tutorial for 
DataFrame","level":"13.2.1","depth":2,"next":{"title":"a9a tutorial for 
SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.md","articles":[]},"previous":{"title":"Binary
 
Classification","level":"13.2","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"a9a
 tutorial for 
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[19/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/criteo.html
--
diff --git a/userguide/binaryclass/criteo.html 
b/userguide/binaryclass/criteo.html
new file mode 100644
index 000..d8839fd
--- /dev/null
+++ b/userguide/binaryclass/criteo.html
@@ -0,0 +1,2412 @@
+
+
+
+
+
+
+Criteo Tutorial · Hivemall User Manual
+
+
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+
+
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+
+
+
+
+
+
+
+
+
+
+
+
+
+
+http://hivemall.incubator.apache.org/; target="_blank" 
class="custom-link"> Home
+
+
+
+
+
+
+
+
+
+
+TABLE OF CONTENTS
+
+
+
+
+
+
+
+
+1.1.
+
+Introduction
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.
+
+Getting Started
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.1.
+
+Installation
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.2.
+
+Install as permanent functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.2.3.
+
+Input Format
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.3.
+
+List of Functions
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.
+
+Tips for Effective Hivemall
+
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.1.
+
+Explicit add_bias() for better prediction
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.2.
+
+Use rand_amplify() to better prediction results
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.3.
+
+Real-time prediction on RDBMS
+
+
+
+
+
+
+
+
+
+
+
+
+1.4.4.
+
+Ensemble learning for stable prediction
+
+
+
+
+
+
+
+
+
+
+

[12/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/ft_engineering/vectorization.html
--
diff --git a/userguide/ft_engineering/vectorization.html 
b/userguide/ft_engineering/vectorization.html
index f5cf711..e65f2d9 100644
--- a/userguide/ft_engineering/vectorization.html
+++ b/userguide/ft_engineering/vectorization.html
@@ -861,9 +861,9 @@
 
 
 
-
+
 
-
+
 
 
 5.1.
@@ -876,6 +876,21 @@
 
 
 
+
+
+
+
+
+5.2.
+
+Step-by-Step Tutorial on Supervised Learning
+
+
+
+
+
+
+
 
 
 
@@ -1228,6 +1243,57 @@
 
 
 
+
+
+
+
+
+6.8.
+
+Criteo Tutorial
+
+
+
+
+
+
+
+
+
+
+
+
+
+6.8.1.
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+Data preparation
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+
 
 
 
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Apache Software Founda
 
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[13/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/ft_engineering/binning.html
--
diff --git a/userguide/ft_engineering/binning.html 
b/userguide/ft_engineering/binning.html
index 44e09ac..7253292 100644
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+
 
-
+
 
 
 5.1.
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@@ -2512,7 +2578,7 @@ Apache Hivemall is an effort undergoing incubation at The 
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[08/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006.html
--
diff --git a/userguide/regression/e2006.html b/userguide/regression/e2006.html
index ef98e5e..a4cc962 100644
--- a/userguide/regression/e2006.html
+++ b/userguide/regression/e2006.html
@@ -861,9 +861,9 @@
 
 
 
-
+
 
-
+
 
 
 5.1.
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+Step-by-Step Tutorial on Supervised Learning
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+Criteo Tutorial
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@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
 
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tter":{},"search":{},"downloadpdf":{"base":"

[09/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/recommend/movielens_cv.html
--
diff --git a/userguide/recommend/movielens_cv.html 
b/userguide/recommend/movielens_cv.html
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--- a/userguide/recommend/movielens_cv.html
+++ b/userguide/recommend/movielens_cv.html
@@ -861,9 +861,9 @@
 
 
 
-
+
 
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 5.1.
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+Step-by-Step Tutorial on Supervised Learning
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+
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+6.8.
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+Criteo Tutorial
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+Field-Aware Factorization Machines
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+
 
 
 
@@ -2321,7 +2387,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
 
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[17/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/criteo_ffm.html
--
diff --git a/userguide/binaryclass/criteo_ffm.html 
b/userguide/binaryclass/criteo_ffm.html
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,2708 @@
+
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+Field-Aware Factorization Machines · Hivemall User 
Manual
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+http://hivemall.incubator.apache.org/; target="_blank" 
class="custom-link"> Home
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+TABLE OF CONTENTS
+
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+1.1.
+
+Introduction
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+1.2.
+
+Getting Started
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+1.2.1.
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+Installation
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+1.2.2.
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+Install as permanent functions
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+1.2.3.
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+Input Format
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+1.3.
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+List of Functions
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+1.4.
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+Tips for Effective Hivemall
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+1.4.1.
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+Explicit add_bias() for better prediction
+
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+1.4.2.
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+Use rand_amplify() to better prediction results
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+1.4.3.
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+Real-time prediction on RDBMS
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+1.4.4.
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+Ensemble learning for stable prediction
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+

[07/20] incubator-hivemall-site git commit: Added criteo example and step-by-step guide for general classifier/regressor

2018-08-31 Thread myui 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/search_index.json
--
diff --git a/userguide/search_index.json b/userguide/search_index.json
index e5fc83d..8e69da9 100644
--- a/userguide/search_index.json
+++ b/userguide/search_index.json
@@ -1 +1 @@
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incubator-hivemall git commit: [HIVEMALL-215] Add step-by-step tutorial on Supervised Learning

2018-08-31 Thread myui 
Repository: incubator-hivemall
Updated Branches:
  refs/heads/master 533c15404 -> 07eb707b7


[HIVEMALL-215] Add step-by-step tutorial on Supervised Learning

## What changes were proposed in this pull request?

In this PR, step by step tutorial is going to be introduced.

## What type of PR is it?

Documentation

## What is the Jira issue?

https://issues.apache.org/jira/browse/HIVEMALL-215

Author: Aki Ariga 

Closes #158 from chezou/tutorial.


Project: http://git-wip-us.apache.org/repos/asf/incubator-hivemall/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall/commit/07eb707b
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall/tree/07eb707b
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall/diff/07eb707b

Branch: refs/heads/master
Commit: 07eb707b7c939776c7e096d581874d06a237dde5
Parents: 533c154
Author: Aki Ariga 
Authored: Fri Aug 31 15:01:48 2018 +0900
Committer: Makoto Yui 
Committed: Fri Aug 31 15:01:48 2018 +0900

--
 docs/gitbook/SUMMARY.md|   3 +-
 docs/gitbook/misc/prediction.md| 163 ---
 docs/gitbook/supervised_learning/prediction.md | 163 +++
 docs/gitbook/supervised_learning/tutorial.md   | 461 
 4 files changed, 626 insertions(+), 164 deletions(-)
--


http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/07eb707b/docs/gitbook/SUMMARY.md
--
diff --git a/docs/gitbook/SUMMARY.md b/docs/gitbook/SUMMARY.md
index 155a221..6c69848 100644
--- a/docs/gitbook/SUMMARY.md
+++ b/docs/gitbook/SUMMARY.md
@@ -79,7 +79,8 @@
 
 ## Part V - Supervised Learning
 
-* [How Prediction Works](misc/prediction.md)
+* [How Prediction Works](supervised_learning/prediction.md)
+* [Step-by-Step Tutorial on Supervised 
Learning](supervised_learning/tutorial.md)
 
 ## Part VI - Binary Classification
 

http://git-wip-us.apache.org/repos/asf/incubator-hivemall/blob/07eb707b/docs/gitbook/misc/prediction.md
--
diff --git a/docs/gitbook/misc/prediction.md b/docs/gitbook/misc/prediction.md
deleted file mode 100644
index 53d0cea..000
--- a/docs/gitbook/misc/prediction.md
+++ /dev/null
@@ -1,163 +0,0 @@
-
-
-
-
-# What is "prediction problem"?
-
-In a context of machine learning, numerous tasks can be seen as **prediction 
problem**. For example, this user guide provides solutions for:
-
-- [spam detection](../binaryclass/webspam.md)
-- [news article classification](../multiclass/news20.md)
-- [click-through-rate estimation](../regression/kddcup12tr2.md)
-
-For any kinds of prediction problems, we generally provide a set of 
input-output pairs as:
-
-- **Input:** Set of features
-   - e.g., `["1:0.001","4:0.23","35:0.0035",...]`
-- **Output:** Target value
-   - e.g., 1, 0, 0.54, 42.195, ...
-   
-Once a prediction model has been constructed based on the samples, the model 
can make prediction for unforeseen inputs. 
-
-In order to train prediction models, an algorithm so-called ***stochastic 
gradient descent*** (SGD) is normally applied. You can learn more about this 
from the following external resources:
-
-- [scikit-learn documentation](http://scikit-learn.org/stable/modules/sgd.html)
-- [Spark MLlib 
documentation](http://spark.apache.org/docs/latest/mllib-optimization.html)
-
-Importantly, depending on types of output value, prediction problem can be 
categorized into **regression** and **classification** problem.
-
-# Regression
-
-The goal of regression is to predict **real values** as shown below:
-
-| features (input) | target real value (output) |
-|:---|:---:|
-|["1:0.001","4:0.23","35:0.0035",...] | 21.3 |
-|["1:0.2","3:0.1","13:0.005",...] | 6.2 |
-|["5:1.3","22:0.0.089","77:0.0001",...] | 17.1 |
-| ... | ... |
-
-In practice, target values could be any of small/large float/int 
negative/positive values. [Our CTR prediction 
tutorial](../regression/kddcup12tr2.md) solves regression problem with small 
floating point target values in a 0-1 range, for example.
-
-While there are several ways to realize regression by using Hivemall, 
`train_regressor()` is one of the most flexible functions. This feature is 
explained in [this page](../regression/general.md).
-
-# Classification
-
-In contrast to regression, output for classification problems should be 
(integer) **labels**:
-
-| features (input) | label (output) |
-|:---|:---:|
-|["1:0.001","4:0.23","35:0.0035",...] | 0 |
-|["1:0.2","3:0.1","13:0.005",...] | 1 |
-|["5:1.3","22:0.0.089","77:0.0001",...] | 1 |
-| ... | ... |
-
-In case the number of possible labels is 2 (0/1 or -1/1), the problem is 
**binary classification**, and Hivemall's `train_classifier()` function enables 
you to build binary classifiers. [Binary 
Classification](../binaryclass/general.md)