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1. Create a Maven project.
2. Copy the content in the pom.xml file of the Git sample to the pom.xml file of your project.
3. Change the values of the <groupId> and <artifactId> properties in the pom.xml file as preferred.

4. Create a Java class in your project which implements the MLInputAdapter interface, by adding the content in the CustomMLInputAdapter.java file.

   Note
   You need to create a Java class in your project which implements the MLOutputAdapter interface for custom output adapter extensions.

5. Override the read(String path) Java method with your custom adapter implementation.
6. Build the bundle by executing the following command: mvn clean install
7. Copy the built bundle to the <ML_HOME>/repository/components/dropins/ directory.

8. Add a new property element with a preferred name to the <ML_HOME>/repository/conf/machine-learner.xml file corresponding to your new adapter as shown in the example below.

   Note
   The property name for input/output adapters must end with the ".in" and ".out" suffixes accordingly.

   Code Block
   language xml
   <Property name="custom.in" value="org.wso2.carbon.ml.custom.adapter.input.CustomMLInputAdapter"/>