Data Processing with Framework Processors
A FrameworkProcessor can run Processing jobs with a specified machine learning
framework, providing you with an Amazon SageMaker–managed container for whichever machine
learning framework you choose. FrameworkProcessor provides premade containers
for the following machine learning frameworks: Hugging Face, MXNet, PyTorch, TensorFlow, and
XGBoost.
The FrameworkProcessor class also provides you with customization over the
container configuration. The FrameworkProcessor class supports specifying a source
directory source_dir for your processing scripts and dependencies. With this
capability, you can give the processor access to multiple scripts in a directory instead of only
specifying one script. FrameworkProcessor also supports including a
requirements.txt file in the source_dir for customizing the Python
libraries to install in the container.
For more information on the FrameworkProcessor class and its methods and
parameters, see FrameworkProcessor
To see examples of using a FrameworkProcessor for each of the supported machine
learning frameworks, see the following topics.
Topics
