Welcome to your new Espresso example!
Make sure you have Python>=3.6 installed in your system.
Install required Python packages for contributing to
cofi-espresso. Run the following commands with the project root level as working directory:
$ conda env create -f envs/environment_contrib.yml $ conda activate esp_contrib
$ pip install .
To complete this contribution, here are some ideas on what to do next:
[ ] Modify README.md. Document anything you’d like to add for this problem (in this README.md file). Some recommended parts include:
What this test problem is about
What you would recommend inversion practitioners to notice
[ ] Modify metadata.yml. As the name suggests, this file contains basic information about the problem itself, authors, citations, example information and other extra information you’d like to include. It’s a yaml file so that we can render some of the information in a more structured manner.
[ ] Modify LICENCE. The default one we’ve used is a 2-clauss BSD licence. Feel free to replace the content with a licence that suits you best.
[ ] Write code in simple_regression.py (and init.py if necessary). Some basic functions have been defined in the template - these are the standard interface we’d like to enforce in Espresso. You’ll see clearly some functionalities that are required to implement and others that are optional.
[ ] Validate and build your contribution locally. We have seperate scripts for validation and packaging.
$ python tools/build_package/validate.py # to validate your contribution $ python tools/build_package/build.py # to install updated Espresso in your environment $ python tools/build_package/validate_build.py # to run both of above together
[ ] Delete / comment out these initial instructions. They are for your own reference so feel free to delete them or comment them out once you’ve finished the above checklist.
How to test your code#
Note that you cannot test your code directly inside your example subfolder, if you have any relative import inside the contribution file. Check the following for details.
In order to test your code in that case, use
contrib as your working directory and
import your contribution in the following ways.
(Python interactive mode)
$ pwd # check you are in the right folder <path-to-espresso>/contrib $ python >>> from simple_regression import ExampleName # import it this way
(Creating temporary Python file)
# file contrib/tmp.py # create tmp file in the right folder from simple_regression import ExampleName # import it this way
Contribution Metadata for Simple 1D regression
This example includes various small 1D regression (curve-fitting) problems. Several different forms of basis function are supported: polynomial, Fourier and discrete.
Andrew Valentine (email@example.com)
Copyright 2021-2022 The Contributors All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.