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This sample demonstrates how a model is generated out of a data set using the lasso regression algorithm. The sample uses a data set to generate a model, which is divided into two sets for training and testing.
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The Lasso Regression algorithm generates a PMML supported model. |
Prerequisites
Follow the steps below to set up the prerequisites before you start.
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Navigate to
<ML_HOME>/samples/default/lasso-regression/directory using the CLI.- Execute the following command to execute the sample: ./
model-generation.sh
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Analyzing the
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output
Once the sample is successfully executed, you can view the summary and the prediction of the model as described below.
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Log in to the ML UI from your Web browser using
admin/admincredentials and the following URL: https://<ML_HOST>:<ML_PORT>/ml.Click 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.
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The sample executes the generated model on the <ML_HOME>/samples/rest-apidefault/lasso-regression/prediction-test data set, and it prints the value [0.6707123817992369] as the prediction result In result in the CLI logs.