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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.

Prerequisites

Follow the steps below to set up the prerequisites before you start.

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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.
   

3. Click  MODELS  button of the new analysis which you created by executing the sample as shown below.
   
4. 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.