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Table of Contents
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  1. Download WSO2 Machine Learner, and start the server. For information on setting up and running WSO2 ML, see Getting Started.
  2. Download and install  jq jq (CLI JSON processor). For instructions, see jq Documentation.
  3. Download and install GNU stream editor (sed). For instructions, see GNU sed Documentation.

Executing the sample

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the sample

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Follow the steps below to execute the sample using the CLI.

  1. Navigate to <ML_HOME>/samples/default/decision-tree/ directory using the CLI.

    Info

    <ML_HOME> refers to the downloaded product-ml directory with the source code of the product

  2. Execute the following command to execute the sample: ./model-generation.sh

Output of the sample

 Once the sample is successfully executed, you can obtain the following output.

 By default, the sample generates the model in

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the <ML_HOME>/models/  directory of your machine. For example, the generated file is in the following format denoting the date and time when it was generated:  wso2-ml-decision-tree-sample-analysis.Model.2015-09-03_11-01-46

Once the sample is successfully executed, you can view the output using the CLI or using the ML UI as described below.

 

Viewing the model summary

 

You can view the summary of the built model using the ML UI as follows.

  1.  

  2.  

Viewing the model predicition

The sample executes the generated model on

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the  <ML_HOME>/samples/default/decision-tree/prediction-test

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 data set, and it

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prints the value ["1"]

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 as the prediction result In the CLI logs

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AnchorUsing the ML UIUsing the ML UIUsing the ML UI

Follow the steps below to execute the sample using the ML UI.