Setting up Watson Machine Learning Accelerator
When you set up and configure Watson Machine Learning Accelerator to work with Watson Studio Local, you can train models by using deep neural networks and use Watson Studio experiments.
Watson Machine Learning Accelerator provides
GPU accelerated training to dramatically shorten training times. You must install Watson Studio Local before setting up Watson Machine Learning Accelerator.
Note: After you upgrade Watson Studio Local, the public key might change. Work with your Watson Machine Learning Accelerator administrator to
update the public key. Learn more about updating the public key by going to the "If IBM Watson
Studio Local is installed with WML Accelerator, update the public key section."
In order to associate Watson Studio Local with a Watson Machine Learning Accelerator instance, you must
register it using the updateWMLClusterdetails.sh command line utility. This allows
Watson Studio Local to locate a Watson Machine Learning Accelerator instance and
identify which Watson Machine Learning
Accelerator details should be used.
Without proper registration, Watson Machine Learning Accelerator features cannot be used by Watson Studio and Watson Machine Learning.
Use the following parameters and details to register Watson Studio Local using the
updateWMLClusterdetails.sh
command line utility:updateWMLClusterdetails.sh https://wmla-master.example.com 9243 wml-ig wml-ig-edt- URL
- The required URL that points to the Watson Machine Learning Accelerator instance.
- Port
- The required network that points to the Watson Machine Learning Accelerator instance.
- Spark instance group
- The required name of the Spark instance group that will be used for training.
- Elastic Distributed Training (EDT) group
- The required name of the instance group that will be used for training EDT.
Learn more about setting up Watson Machine Learning Accelerator.