My First “Hello World” Engine

1. DataSource

2. Algorithm

3. Deploy

Prepare training data:

$ cd $PIO_HOME/examples/scala-local-helloworld
$ cp ../data/helloworld/data1.csv ../data/helloworld/data.csv

Register engine:

$ ../../bin/pio register

Train:

$ ../../bin/pio train

Example output:

2014-08-05 17:06:02,638 INFO  APIDebugWorkflow$ - Metrics is null. Stop here
2014-08-05 17:06:02,769 INFO  APIDebugWorkflow$ - Run information saved with ID: 201408050005

Deploy:

$ ../../bin/pio deploy

Retrieve prediction:

$ curl -H "Content-Type: application/json" -d '{ "day": "Mon" }' http://localhost:8000/queries.json

Output:

{"temperature":75.5}

Retrieve prediction:

$ curl -H "Content-Type: application/json" -d '{ "day": "Tue" }' http://localhost:8000/queries.json

Output:

{"temperature":80.5}

4. Re-training

Re-train with new data:

$ cd $PIO_HOME/examples/scala-local-helloworld
$ cp ../data/helloworld/data2.csv ../data/helloworld/data.csv

$ ../../bin/pio train
$ ../../bin/pio deploy

$ curl -H "Content-Type: application/json" -d '{ "day": "Mon" }' http://localhost:8000/queries.json

{"temperature":76.66666666666667}