adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
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Download Latest Version (.zip)- auto-changelog-generator.yml
- coverage.yml
- nox.yml
- pythonpublish.yml
- toc.yaml
- typeguard.yml
- pull_request_template.md
- __init__.py
- average_learner.py
- average_learner1D.py
- balancing_learner.py
- base_learner.py
- data_saver.py
- integrator_coeffs.py
- integrator_learner.py
- learner1D.py
- learner2D.py
- learnerND.py
- sequence_learner.py
- triangulation.py
- triangulation_backend.py
- __init__.py
- test_learnernd.py
- test_learnernd_integration.py
- test_triangulation.py
- test_triangulation_backend.py
- __init__.py
- algorithm_4.py
- flaky_utils.py
- test_average_learner.py
- test_average_learner1d.py
- test_balancing_learner.py
- test_cquad.py
- test_learner1d.py
- test_learnernd.py
- test_learners.py
- test_notebook_integration.py
- test_pickling.py
- test_runner.py
- test_sequence_learner.py
- test_triangulation.py
- __init__.py
- _types.py
- _version.py
- notebook_integration.py
- runner.py
- types.py
- utils.py
- __init__.py
- benchmarks.py
- asv.conf.json
- README.md
- battle_for_majoranas.jpeg
- quasi_majorana_paper.jpeg
- spin_orbit_paper.jpeg
- zigzag_paper.jpeg
- theme.js
- custom.css
- logo.png
- logo_docs.png
- base.html
- adaptive.learner.average_learner.md
- adaptive.learner.average_learner1D.md
- adaptive.learner.balancing_learner.md
- adaptive.learner.base_learner.md
- adaptive.learner.data_saver.md
- adaptive.learner.integrator_learner.md
- adaptive.learner.learner1D.md
- adaptive.learner.learner2D.md
- adaptive.learner.learnerND.md
- adaptive.learner.sequence_learner.md
- adaptive.learner.triangulation.md
- adaptive.learner.triangulation_backend.md
- adaptive.md
- adaptive.notebook_integration.md
- adaptive.runner.AsyncRunner.md
- adaptive.runner.BaseRunner.md
- adaptive.runner.BlockingRunner.md
- adaptive.runner.extras.md
- adaptive.runner.Runner.md
- adaptive.utils.md
- tutorial.advanced-topics.md
- tutorial.AverageLearner.md
- tutorial.AverageLearner1D.md
- tutorial.BalancingLearner.md
- tutorial.custom_loss.md
- tutorial.DataSaver.md
- tutorial.IntegratorLearner.md
- tutorial.Learner1D.md
- tutorial.Learner2D.md
- tutorial.LearnerND.md
- tutorial.md
- tutorial.parallelism.md
- tutorial.SequenceLearner.md
- algorithms_and_examples.md
- benchmarks.md
- CHANGELOG.md
- conf.py
- docs.md
- faq.md
- gallery.md
- index.md
- logo.md
- .gitignore
- environment.yml
- logo.py
- Makefile
- .gitattributes
- .gitignore
- .mailmap
- .pre-commit-config.yaml
- .zenodo.json
- AUTHORS.md
- azure-pipelines.yml
- CHANGELOG.md
- environment.yml
- example-notebook.ipynb
- ipynb_filter.py
- LICENSE
- MANIFEST.in
- noxfile.py
- pyproject.toml
- README.md
- readthedocs.yml
- RELEASE.md
- setup.cfg
๐ Installation Guide
git clone https://github.com/python-adaptive/adaptive
Downloads the entire project code from GitHub to your computer.
cd adaptive
Moves into the project folder you just downloaded.
2. Official Install Script
Easy Recommended- Python 3 Python is required to use pip.
pip install "adaptive[notebook]"
Installs the package published on PyPI directly โ no need to clone the source.
pip install "adaptive[rust]"
Installs the package published on PyPI directly โ no need to clone the source.
Pulled directly from this repo's README.
3. Python
Easypip install "adaptive[notebook]"
Installs the package published on PyPI directly โ no need to clone the source.
pip install "adaptive[rust]"
Installs the package published on PyPI directly โ no need to clone the source.
jupyter labextension install @jupyter-widgets/jupyterlab-manager
Type this command into your terminal and run it.
jupyter labextension install @pyviz/jupyterlab_pyviz
Type this command into your terminal and run it.
pip install -e ".[notebook,test,other]"
Installs the Python libraries listed in requirements.txt (or similar).
Pulled directly from this repo's README.
4. Make
Medium- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
cd docs
This project's files live in a subfolder, so move into it first.
make
Compiles the code based on the generated build configuration to produce an executable.