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- Download WSO2 Machine Learner, and start the server. For information on setting up and running WSO2 ML, see Getting Started.
- Download and install jq jq (CLI JSON processor). For instructions, see jq Documentation.
Executing the sample
You can execute the sample either using the CLI or using the ML UI as described below.
- If you are using Mac OS X, download and install GNU stream editor (sed). For instructions, see GNU sed Documentation.
Executing the sample
Follow the steps below to execute the sample using the CLI.
Navigate to
<ML_HOME>/samples/default/decision-tree/
directory using the CLI.Info <ML_HOME>
refers to the downloadedproduct-ml
directory with the source code of the product- Execute the following command to execute the sample: ./
model-generation.sh
Output of the sample
Once Once the sample is successfully executed, you can obtain the following output.view the summary and the prediction of the model as described below.
Info |
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By default, the sample generates the model in |
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the |
Viewing the model summary
You can view the summary of the built model using the ML UI as follows.
Log in to the ML UI from your Web browser using
admin/admin
credentials and the following URL: https://<ML_HOST>:<ML_PORT>/mlClick the Projects button as shown below.
- Click MODELS button of the new analysis which you created by executing the sample as shown below.
- Click VIEW of the built new model as shown below.
You view the summary of the built model as shown below.
Viewing the model prediction
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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Follow the steps below to execute the sample using the ML UI.