[incubator-hivemall] branch master updated: Added document about xgboost_version() UDF

[myui]

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in repository https://gitbox.apache.org/repos/asf/incubator-hivemall.git


The following commit(s) were added to refs/heads/master by this push:
     new dd28747  Added document about xgboost_version() UDF
dd28747 is described below

commit dd287473731948ec8aa3b8b4df65e63edafa260e
Author: Makoto Yui <m...@apache.org>
AuthorDate: Wed Oct 30 17:59:49 2019 +0900

    Added document about xgboost_version() UDF
---
 docs/gitbook/misc/funcs.md                                           | 5 +++++
 .../src/main/java/hivemall/docs/FuncsListGeneratorMojo.java          | 2 +-
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/docs/gitbook/misc/funcs.md b/docs/gitbook/misc/funcs.md
index e5e9dc8..13ecea5 100644
--- a/docs/gitbook/misc/funcs.md
+++ b/docs/gitbook/misc/funcs.md
@@ -646,6 +646,11 @@ Reference: <a 
href="https://papers.nips.cc/paper/3848-adaptive-regularization-of
 
 - `xgboost_predict(string rowid, string[] features, string model_id, 
array<byte> pred_model [, string options])` - Returns a prediction result as 
(string rowid, float predicted)
 
+- `xgboost_version()` - Returns the version of xgboost
+  ```sql
+  SELECT xgboost_version();
+  ```
+
 # Term Vector Model
 
 - `bm25(double termFrequency, int docLength, double avgDocLength, int numDocs, 
int numDocsWithTerm [, const string options])` - Return an Okapi BM25 score in 
double. Refer 
http://hivemall.incubator.apache.org/userguide/ft_engineering/bm25.html for 
usage
diff --git 
a/tools/hivemall-docs/src/main/java/hivemall/docs/FuncsListGeneratorMojo.java 
b/tools/hivemall-docs/src/main/java/hivemall/docs/FuncsListGeneratorMojo.java
index 50298cc..0544e99 100644
--- 
a/tools/hivemall-docs/src/main/java/hivemall/docs/FuncsListGeneratorMojo.java
+++ 
b/tools/hivemall-docs/src/main/java/hivemall/docs/FuncsListGeneratorMojo.java
@@ -143,7 +143,7 @@ public class FuncsListGeneratorMojo extends AbstractMojo {
         funcsHeaders.put("# Decision trees and RandomForest", Arrays.asList(
             "hivemall.smile.classification", "hivemall.smile.regression", 
"hivemall.smile.tools"));
         funcsHeaders.put("# XGBoost", 
Arrays.asList("hivemall.xgboost.classification",
-            "hivemall.xgboost.regression", "hivemall.xgboost.tools"));
+            "hivemall.xgboost.regression", "hivemall.xgboost.tools", 
"hivemall.xgboost"));
         funcsHeaders.put("# Term Vector Model", 
Collections.singletonList("hivemall.ftvec.text"));
         funcsHeaders.put("# Others",
             Arrays.asList("hivemall", "hivemall.dataset", 
"hivemall.ftvec.text"));