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From bo...@apache.org
Subject [2/4] storm git commit: STORM-2493: fix spacing for storm-pmml.md
Date Mon, 15 May 2017 21:54:53 GMT
STORM-2493: fix spacing for storm-pmml.md


Project: http://git-wip-us.apache.org/repos/asf/storm/repo
Commit: http://git-wip-us.apache.org/repos/asf/storm/commit/98f679db
Tree: http://git-wip-us.apache.org/repos/asf/storm/tree/98f679db
Diff: http://git-wip-us.apache.org/repos/asf/storm/diff/98f679db

Branch: refs/heads/master
Commit: 98f679db33f143346bf4bd52f078ba83012bfa0e
Parents: e80f9e2
Author: vesense <best.wangxin@163.com>
Authored: Fri Apr 28 16:33:31 2017 +0800
Committer: vesense <best.wangxin@163.com>
Committed: Fri Apr 28 16:33:31 2017 +0800

----------------------------------------------------------------------
 docs/storm-pmml.md            | 6 +++---
 external/storm-pmml/README.md | 6 +++---
 2 files changed, 6 insertions(+), 6 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/storm/blob/98f679db/docs/storm-pmml.md
----------------------------------------------------------------------
diff --git a/docs/storm-pmml.md b/docs/storm-pmml.md
index ad2d5b8..5051489 100644
--- a/docs/storm-pmml.md
+++ b/docs/storm-pmml.md
@@ -1,9 +1,9 @@
-#Storm PMML Bolt
+# Storm PMML Bolt
  Storm integration to load PMML models and compute predictive scores for running tuples.
The PMML model represents
  the machine learning (predictive) model used to do prediction on raw input data. The model
is typically loaded into a 
  runtime environment, which will score the raw data that comes in the tuples. 
 
-#Create Instance of PMML Bolt
+## Create Instance of PMML Bolt
  To create an instance of the `PMMLPredictorBolt`, you must provide the `ModelOutputs`, and
a `ModelRunner` using a 
  `ModelRunnerFactory`. The `ModelOutputs` represents the streams and output fields declared
by the `PMMLPredictorBolt`.
  The `ModelRunner` represents the runtime environment to execute the predictive scoring.
It has only one method: 
@@ -27,7 +27,7 @@
  
  The `predicted`, `active`, and `output` fields are extracted from the PMML model.
 
-#Run Bundled Examples
+## Run Bundled Examples
 
 To run the examples you must execute the following command:
  

http://git-wip-us.apache.org/repos/asf/storm/blob/98f679db/external/storm-pmml/README.md
----------------------------------------------------------------------
diff --git a/external/storm-pmml/README.md b/external/storm-pmml/README.md
index e4a5d0d..d237f55 100644
--- a/external/storm-pmml/README.md
+++ b/external/storm-pmml/README.md
@@ -1,9 +1,9 @@
-#Storm PMML Bolt
+# Storm PMML Bolt
  Storm integration to load PMML models and compute predictive scores for running tuples.
The PMML model represents
  the machine learning (predictive) model used to do prediction on raw input data. The model
is typically loaded into a 
  runtime environment, which will score the raw data that comes in the tuples. 
 
-#Create Instance of PMML Bolt
+## Create Instance of PMML Bolt
  To create an instance of the `PMMLPredictorBolt`, you must provide the `ModelOutputs`, and
a `ModelRunner` using a 
  `ModelRunnerFactory`. The `ModelOutputs` represents the streams and output fields declared
by the `PMMLPredictorBolt`.
  The `ModelRunner` represents the runtime environment to execute the predictive scoring.
It has only one method: 
@@ -27,7 +27,7 @@
  
  The `predicted`, `active`, and `output` fields are extracted from the PMML model.
 
-#Run Bundled Examples
+## Run Bundled Examples
 
 To run the examples you must execute the following command:
  


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