Unknown macro: {next_previous_links}
Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 4 Next »

Introduction

Prerequisites

Download WSO2 Machine Learner, and start the server. 

Building the sample

Execute the following command to download the source code of the product: git clone https://github.com/wso2/product-ml.git

Executing the sample

Follow the steps below to execute the sample.

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

    <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: sh model-generation.sh

Output of the sample

If the sample executed successfully, the model will be generated by default in the /tmp/ directory of your machine. For example, the generated file will be in the following format denoting the date and time when it was generated: model.1.2015-03-20_13:29:10

You can change the location where the output model file is saved, by defining the folder path of the required location for the value of the location element in the <ML_HOME>/samples/rest-api/decision-tree/create-model-storage file.

  • No labels