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Table of Contents
maxLevel3

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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 (CLI JSON processor). For instructions, see jq Documentation.
  3. Download If you are using Mac OS X, download and install GNU stream editor (sed). For instructions, see GNU sed Documentation.

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

    Tip

    <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

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Info

By default, the sample generates the model in 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

Viewing the model summary

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  1. Log in to the ML UI from your Web browser using admin/admin credentials and the following URL: https://<ML_HOST>:<ML_PORT>/ml

  2. Click the Projects button as shown below.
    click Projects button

  3. Click MODELS button of the new analysis which you created by executing the sample as shown below.
    select model
  4. Click VIEW of the built new model as shown below.
    view model
    You view the summary of the built model as shown below.
    model summary

Viewing the model

predicition

prediction

The sample executes the generated model on the  <ML_HOME>/samples/default/decision-tree/prediction-test data set, and it prints the value ["1"] as the prediction result In the CLI logs.