DLHub home_run
home_run
is a tool used by the Data and Learning Hub for Science internally to turn a bunch of files and a recipe into an functional Python object.
Installation
home_run
is on PyPi. Install it by calling
pip install home_run
home_run
is designed to be as light-weight as possible, and has only requests
as a dependency.
Technical Details
The key ingredients for using home_run
are files describing a function that will be served by DLHub.
These include a metadata file describing the servable (see
dlhub_sdk
for tools for creating these files,
and dlhub_schemas
for the schemas), and
the actual files that make up the servable (e.g., a Keras hdf5 file).
Each particular type of servable has its own recipe for going from these files to a Python object.
All recipes are a subclass of BaseServable
, which provides the general framework for defining a servable object.
Each subclass has a matching BaseMetadataModel
class in dlhub_sdk
.
For example, the type of servable that can be described by the PythonStaticMethodModel
can be run by the PythonStaticMethodServable
.
Project Support
This material is based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357.