[WIP] Incorporate the official templates in core repository

templates/template-scala-parallel-recommendation/.gitignore

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+.DS_Store
+manifest.json
+target/
+pio.log
+/pio.sbt
+
+# Eclipse
+.project
+.classpath
+.settings/
+
+# IntelliJ
+*.iml
+.idea/

templates/template-scala-parallel-recommendation/LICENSE.txt

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templates/template-scala-parallel-recommendation/README.md

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+<!--
+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.
+-->
+# Recommendation Template
+
+## Documentation
+
+Please refer to
+https://predictionio.apache.org/templates/recommendation/quickstart/.
+
+## Versions
+
+### v0.13.0
+
+Update for Apache PredictionIO 0.13.0
+
+### v0.12.0-incubating
+
+- Bump version number to track PredictionIO version
+- Sets default build targets according to PredictionIO
+- Add checkpoint parameters
+- Fix warnings and use of case class
+
+### v0.11.0-incubating
+
+- Bump version number to track PredictionIO version
+- Rename Scala package name
+- Update SBT version
+- Fix typo
+
+### v0.4.0
+
+- Compatible with Apache PredictionIO 0.10.0-incubating
+
+### v0.3.2
+
+- Fix incorrect top items in batchPredict() (issue #5)
+
+### v0.3.1
+
+- Add Evaluation module and modify DataSource for it
+
+### v0.3.0
+
+- update for PredictionIO 0.9.2, including:
+
+  - use new PEventStore API
+  - use appName in DataSource parameter
+
+### v0.2.0
+
+- update build.sbt and template.json for PredictionIO 0.9.2
+
+### v0.1.2
+
+- update for PredictionIO 0.9.0
+
+### v0.1.1
+
+- Persist RDD to memory (.cache()) in DataSource for better performance and quick fix for new user/item ID BiMap error issue.
+
+### v0.1.0
+
+- initial version
+- known issue:
+  * If importing new events of new users/itesm during training, the new user/item id can't be found in the BiMap.

templates/template-scala-parallel-recommendation/build.sbt

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+/*
+ * 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.
+ */
+
+name := "template-scala-parallel-recommendation"
+
+scalaVersion := "2.11.12"
+libraryDependencies ++= Seq(
+  "org.apache.predictionio" %% "apache-predictionio-core" % "0.14.0-SNAPSHOT" % "provided",
+  "org.apache.spark"        %% "spark-mllib"              % "2.1.1" % "provided")

templates/template-scala-parallel-recommendation/data/import_eventserver.py

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+"""
+Import sample data for recommendation engine
+"""
+
+import predictionio
+import argparse
+import random
+
+RATE_ACTIONS_DELIMITER = "::"
+SEED = 3
+
+def import_events(client, file):
+  f = open(file, 'r')
+  random.seed(SEED)
+  count = 0
+  print("Importing data...")
+  for line in f:
+    data = line.rstrip('\r\n').split(RATE_ACTIONS_DELIMITER)
+    # For demonstration purpose, randomly mix in some buy events
+    if (random.randint(0, 1) == 1):
+      client.create_event(
+        event="rate",
+        entity_type="user",
+        entity_id=data[0],
+        target_entity_type="item",
+        target_entity_id=data[1],
+        properties= { "rating" : float(data[2]) }
+      )
+    else:
+      client.create_event(
+        event="buy",
+        entity_type="user",
+        entity_id=data[0],
+        target_entity_type="item",
+        target_entity_id=data[1]
+      )
+    count += 1
+  f.close()
+  print("%s events are imported." % count)
+
+if __name__ == '__main__':
+  parser = argparse.ArgumentParser(
+    description="Import sample data for recommendation engine")
+  parser.add_argument('--access_key', default='invald_access_key')
+  parser.add_argument('--url', default="http://localhost:7070")
+  parser.add_argument('--file', default="./data/sample_movielens_data.txt")
+
+  args = parser.parse_args()
+  print(args)
+
+  client = predictionio.EventClient(
+    access_key=args.access_key,
+    url=args.url,
+    threads=5,
+    qsize=500)
+  import_events(client, args.file)

templates/template-scala-parallel-recommendation/data/send_query.py

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+"""
+Send sample query to prediction engine
+"""
+
+import predictionio
+engine_client = predictionio.EngineClient(url="http://localhost:8000")
+print(engine_client.send_query({"user": "1", "num": 4}))