Github user ptgoetz commented on a diff in the pull request:
https://github.com/apache/storm/pull/1816#discussion_r92243287
--- Diff: external/storm-pmml/README.md ---
@@ -0,0 +1,104 @@
+#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
+ To create an instance of the `PMMLPredictorBolt` you must provide a
`ModelRunner` using a `ModelRunnerFactory`,
+ and optionally an instance of `ModelOutputFields`. The
`ModelOutputFields` is only required if you wish to emit
+ tuples with predicted scores to one or multiple streams. Otherwise, the
`PMMLPredictorBolt` will declare no
+ output fields.
+
+ The `ModelRunner` represents the runtime environment to execute the
predictive scoring. It has only one method:
+
+ ```java
+ Map<Stream, List<Object>> scoredTuplePerStream(Tuple input);
+ ```
+
+ This method contains the logic to compute the scored tuples from the raw
inputs tuple. It's up to the discretion of the
+ implementation to define which scored values are to be assigned to each
`Stream`. A `Stream` is a representation of a Storm stream.
+
+ The `PmmlModelRunner` is an extension of `ModelRunner` that represents
the typical steps involved
+ in predictive scoring. Hence, it allows for the **extraction** of raw
inputs from the tuple, **pre process** the
+ raw inputs, and **predict** the scores from the preprocessed data.
+
+ The `JPmmlModelRunner` is an implementation of `PmmlModelRunner` that
uses [JPMML](https://github.com/jpmml/jpmml) as
+ runtime environment. This implementation extracts the raw inputs from the
tuple for all `active fields`,
+ and builds a tuple with the predicted scores for the `predicted fields`
and `output fields`.
+ In this implementation all the declared streams will have the same scored
tuple.
+
+ The `predicted`, `active`, and `output` fields are extracted from the
PMML model.
+
+#Run Bundled Examples
+
+To run the examples you must copy the `storm-pmml` uber jar to
`STORM-HOME/extlib` and then run the command:
--- End diff --
Can't the example just be a self contained shaded jar that is ready for
deployment? It seems odd to require users to modify the pom and copy jars into
extlib to run the example. Most of the other examples are deployable jars.
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