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Performing Regression Tasks via an Imported Tensorflow Model

Purpose:

This application demonstrates how to import a pretrained Tensorflow model WSO2 Streaming Integrator to perform a regression task.

Prerequisites:

  1. Replace {SI_HOME} with absolute path to the Streaming Integrator Tooling home directory.
  2. Save this sample.
  3. If there is no syntax error, the following message is shown on the console:
    * Siddhi App TensorFlowTestApp successfully deployed.

Executing the Sample:

  1. Start the Siddhi application by clicking on 'Run'.
  2. If the Siddhi application starts successfully, the following messages are shown on the console:
    * TensorFlowTestApp.siddhi - Started Successfully!

Testing the Sample:

Send events through one or more of the following methods.

Send events to ProductionInputStream, via event simulator.
  1. Open the event simulator by clicking on the second icon or pressing Ctrl+Shift+I.
  2. In the Single Simulation tab of the panel, specify the values as follows:
    • Siddhi App Name: TensorFlowTestApp
    • Stream Name: InputStream
  3. In the x field, enter the following and then click Send to send the event.

    x: "double:[1,-2]"

  4. Send some more events.

Send events to the simulator http endpoint through the curl command:
  1. Open a new terminal and issue the following command:
    curl -X POST \
        http://localhost:9390/simulation/single \
        -H 'content-type: text/plain' \
        -d '{"streamName": "InputStream", "siddhiAppName": "TensorFlowTestApp","data": ["double:[1,-2]"]}'
  2. If there is no error, the following messages are shown on the terminal:
    {"status":"OK","message":"Single Event simulation started successfully"}
Publish events with Postman:
  1. Install 'Postman' application from Chrome web store.
  2. Launch the application.
  3. Make a 'Post' request to the 'http://localhost:9390/simulation/single' endpoint. Set the Content-Type to 'text/plain' and set the request body in text as follows:
    {"streamName": "InputStream", "siddhiAppName": "TensorFlowTestApp","data": ['double:[1,-2]']}
  4. Click 'send'. If there is no error, the following messages are shown on the console:
    "status": "OK",
    "message": "Single Event simulation started successfully"

Viewing the Results:

See the output on the terminal.

@App:name("TensorFlowTestApp")


define stream InputStream (x string);

@sink(type='log')
define stream OutputStream (outputPoint0 double, outputPoint1 double);

@info(name = 'query1')
from InputStream#tensorFlow:predict('{SI_HOME}/samples/artifacts/TensorflowSample/Regression', 'inputPoint', 'outputPoint', x)
select outputPoint0, outputPoint1
insert into OutputStream;
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