[haiku]

Haiku models interfacing tools.

Haiku is a Google DeepMind library that provides with tools to build artificial neural networks backed by the JAX computation library. We selected it as a primary candidate to support using JAX-backed models, mostly because of its simplicity, that leaves apart some components that DecLearn already provides (such as optimization algorithms).

In July 2023, Haiku development was announced to be stalled as far as new features are concerned, in favor of Flax, a concurrent Google project.

DecLearn is planned to add support for Flax at some point (building on the existing Haiku-oriented code, notably as far as Jax NumPy is concerned). In the meanwhile, this submodule enables running code that operates using haiku, which probably does not cover a lot of use cases, but it bound to keep working at least for a while, until Google decides to drop maintenance altogether.

This module exposes: * HaikuModel: Model subclass to wrap haiku.Model objects * JaxNumpyVector: Vector subclass to wrap jax.numpy.ndarray objects