A collection of Python interfaces for TA1 primitives. They all extend the unified base class exposing a common set of methods. The purposes of non-base interfaces are:
- they can declare stricter or specialized input and output types
- they can signal to TA2 systems which primitives are doing what on a different level than just through input and output types
- other primitives can declare that they are accepting as an argument just a subset of primitives using that interface class as a type of the argument
- specialized interfaces can declare additional methods on those primitives (discouraged because it can introduce special casing in TA2 systems, but until typing system is well developed this can help address some limitations)
- can be used a workaround where a input and output types are not enough
Every working group is invited to create merge requests with interface for their sets of primitives. The idea is that we have a common interfaces in Python so that it is easier to understand how interfaces should work because currently each interface is described in a different way.
Primitives Annotation Schema
defines interface_type field. The idea is that each of those values <interface> map to
a primitive_interfaces.<interface> Python module, which exposes one abstract class, the interface for that
interface.
See supervised_learning.py for an example of an interface.
You can run
pip install .
in the root directory of this repository to install the primitive_interfaces package.
You can also install from git directly
pip install git+ssh://git@gitlab.datadrivendiscovery.org/d3m/primitive-interfaces.git@unified_interface
Alternatively, you can run
pip install -e .
to install the package in editable mode, which means that you can keep editing your local copy of the source code without the need to reinstall after each edit.
Examples of primitives using the unified interface can be found in this repository.