harlow 0.1.0

Adaptive surrogate modelling

harlow

Adaptive surrogate modelling.

f_target(x) ~ f_surrogate(x)

Harlow is an Adaptive Surrogate Modeling package, in Python. The package offers a wide range of GPU-trainable Surrogate Models for single input-output and multi input-output pairs. Additionaly a series of Adaptive Samplers is implemented that work with multivariate data providing real-time web-logging. The package offers an intergration and benchmark test suite with numerous test functions and a real case study along with visualization functionality.

DISCLAIMER: This repository is in development. There's no guarantee in terms of code quality or output.

On using the repository

• Install dependencies and the code from this repo:

pip install -e .

• Install with additional dependencies for building documentation:

pip install -e .[docs]

• To build the documentation locally:

sphinx-build -b html docs/source docs/build

• To view the documentation open docs/build/index.html

• All code within this repository is expected to be run with the working directory set as the root directory of the repository.