Installing and Test Run#
Installation#
Install Python#
To use boa, you must first have Python installed, either with conda or other.
Here are instructions on how to install python through Anaconda or miniconda:
Install Anaconda: This is the recommended option for those who are new to Python. Anaconda comes with a few choices of IDEs and Jupyter Notebook, which can be used to run interactive Python notebooks such as those in boa’s examples. To install Anaconda, see directions for installing Anaconda.
Install Miniconda: If you want a more minimal installation without any extra packages, would prefer to handle installing a Python IDE yourself, and would prefer to work from the command line instead of using the graphical interface provided by Anaconda Navigator, you might prefer to install Miniconda rather than Anaconda. Miniconda is a minimal version of Anaconda that includes just conda, its dependencies, and Python. To install Miniconda, see directions for installing Miniconda.
Install boa#
If using conda and you don’t already have a dedicated conda environment for your model (if using mamba, replace all conda calls with mamba):
conda create -n boa
conda activate boa
or if not using Python, make sure you have a virtual environment create:
python -m venv venv
and activate the virtual environment, on windows:
. venv\Scripts\activate.bat
on linux and mac:
. venv/bin/activate
Once your environment is activated, if using conda, run:
conda install boa-framework -c pytorch -c conda-forge
If not using conda, run:
pip install boa-framework
If you want to install the latest (bleeding-edge) develop version of boa:
pip install git+https://github.com/madeline-scyphers/boa.git@develop
Installing for Contributing#
fork the boa repository from boa’s GitHub page. and then clone your forked repo
From the root directory of the cloned repository, run:
conda env create --file environment_dev.yml
This will install boa in editable mode.
mac x86 or apple silicone macs on rosetta python need pytorch>2.0 so if on either of those, it should install pytorch>2 by default but if not and something doesn’t work, upgrade pytorch, torchvision, and torchaudio
and then activate this environment:
conda activate boa-dev
Test run#
Once everything is installed, run the test script to ensure everything is install properly:
boa.scripts.run_branin
If this test case runs successfully, you can move on to the next steps.
If you encounter a problem, make sure you environment that you install boa into is activated (conda activate boa, . venv/bin/activate, or . venvScriptsactivate.bat for conda or pip (unix or windows), see above)), and then try again. If it still doesn’t work, you can try:
python -m boa.scripts.run_branin
If this works, it may mean it installed an older version of BOA or that the boa command is not found on your path. If this works, you should be able to run boa commands by using the python -m boa instead of just boa and the plot command with python -m boa.plot.
Update BOA#
To update BOA
if using Conda to install BOA, run:
conda update boa-framework
if using pip to install BOA, run:
pip install -U boa-framework
If you have errors, see the Troubleshooting section.
Bayesian Optimization Overview#
Head over to the Basics of Bayesian Optimization to read about Bayesian Optimization and how it works.