Update _build_image_api.py

sdk/python/kfp/containers/_build_image_api.py

@@ -80,7 +80,8 @@ def build_image_from_working_dir(image_name: str = None, working_dir: str = None
         timeout: Optional. The image building timeout in seconds.
         base_image: Optional. The container image to use as the base for the new image. If not set, the Google Deep Learning Tensorflow CPU image will be used.
         builder: Optional. An instance of ContainerBuilder or compatible class that will be used to build the image.
-          The default builder uses "kubeflow-pipelines-container-builder" service account in "kubeflow" namespace. It works with Kubeflow Pipelines clusters installed using Google Cloud Marketplace or Standalone with version > 0.4.0.
+          The default builder uses "kubeflow-pipelines-container-builder" service account in "kubeflow" namespace. It works with Kubeflow Pipelines clusters installed in "kubeflow" namespace using Google Cloud Marketplace or Standalone with version > 0.4.0.
+          If your Kubeflow Pipelines is installed in a different namespace, you should use ContainerBuilder(namespace='<your-kfp-namespace>', ...).
           Depending on how you installed Kubeflow Pipelines, you need to configure your ContainerBuilder instance's namespace and service_account:
           For clusters installed with Kubeflow >= 0.7, use ContainerBuidler(namespace='<your-user-namespace>', service_account='default-editor', ...). You can omit the namespace if you use kfp sdk from in-cluster notebook, it uses notebook namespace by default.
           For clusters installed with Kubeflow < 0.7, use ContainerBuilder(service_account='default', ...).