Merge tag 'v0.13.0' into pr/w2ll2am/298

.github/workflows/CI.yml

@@ -29,8 +29,8 @@ jobs:
         shell: bash
     strategy:
       matrix:
-        julia-version: ['1.8.2']
-        python-version: ['3.9']
+        julia-version: ['1.9']
+        python-version: ['3.10']
         os: [ubuntu-latest]
     
     steps:

.github/workflows/CI_Windows.yml

@@ -29,8 +29,8 @@ jobs:
         shell: bash
     strategy:
       matrix:
-        julia-version: ['1.8.2']
-        python-version: ['3.9']
+        julia-version: ['1.9']
+        python-version: ['3.10']
         os: [windows-latest]
     
     steps:

.github/workflows/CI_docker_large_nightly.yml

@@ -18,8 +18,8 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        julia-version: ['1.6.7', '1.8.2']
-        python-version: ['3.10.8']
+        julia-version: ['1.6', '1.9']
+        python-version: ['3.10']
         os: [ubuntu-latest]
         arch: ['linux/amd64', 'linux/arm64']
       

.github/workflows/CI_large_nightly.yml

@@ -23,7 +23,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        julia-version: ['1.6.7', '1.7.3', '1.8.2']
+        julia-version: ['1.6', '1.8', '1.9']
         python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
         os: [ubuntu-latest, macos-latest, windows-latest]
     

.github/workflows/CI_mac.yml

@@ -29,8 +29,8 @@ jobs:
         shell: bash
     strategy:
       matrix:
-        julia-version: ['1.8.2']
-        python-version: ['3.9']
+        julia-version: ['1.9']
+        python-version: ['3.10']
         os: [macos-latest]
     
     steps:

CITATION.cff

@@ -0,0 +1,11 @@
+cff-version: 1.2.0
+message: "If you use this software, please cite it using as below."
+authors:
+- family-names: "Cranmer"
+  given-names: "Miles"
+  orcid: "https://orcid.org/0000-0002-6458-3423"
+title: "Interpretable Machine Learning for Science with PySR & SymbolicRegression.jl"
+version: 1.0.0
+date-released: 2023-05-02
+doi: 10.48550/arXiv.2305.01582
+url: "https://github.com/MilesCranmer/pysr_paper"

CITATION.md

@@ -1,27 +0,0 @@
-# Citing
-
-This software:
-```
-@software{pysr,
-  author       = {Miles Cranmer},
-  title        = {PySR: Fast \& Parallelized Symbolic Regression in Python/Julia},
-  month        = sep,
-  year         = 2020,
-  publisher    = {Zenodo},
-  doi          = {10.5281/zenodo.4041459},
-  url          = {http://doi.org/10.5281/zenodo.4041459}
-}
-```
-
-Metric used for scoring equations:
-```
-@article{cranmer2020discovering,
-      title={Discovering Symbolic Models from Deep Learning with Inductive Biases}, 
-      author={Miles Cranmer and Alvaro Sanchez-Gonzalez and Peter Battaglia and Rui Xu and Kyle Cranmer and David Spergel and Shirley Ho},
-      journal={NeurIPS 2020},
-      year={2020},
-      eprint={2006.11287},
-      archivePrefix={arXiv},
-      primaryClass={cs.LG}
-}
-```

README.md

@@ -8,9 +8,9 @@ https://user-images.githubusercontent.com/7593028/188328887-1b6cda72-2f41-439e-a
 
 PySR uses evolutionary algorithms to search for symbolic expressions which optimize a particular objective.
 
-| **Docs** | **Forums** | **colab demo** |
-|:---:|:---:|:---:|
-|[![Documentation](https://github.com/MilesCranmer/PySR/actions/workflows/docs.yml/badge.svg)](https://astroautomata.com/PySR/)|[![Discussions](https://img.shields.io/badge/discussions-github-informational)](https://github.com/MilesCranmer/PySR/discussions)|[![Colab](https://img.shields.io/badge/colab-notebook-yellow)](https://colab.research.google.com/github/MilesCranmer/PySR/blob/master/examples/pysr_demo.ipynb)|
+| **Docs** | **Forums** | **Paper** | **colab demo** |
+|:---:|:---:|:---:|:---:|
+|[![Documentation](https://github.com/MilesCranmer/PySR/actions/workflows/docs.yml/badge.svg)](https://astroautomata.com/PySR/)|[![Discussions](https://img.shields.io/badge/discussions-github-informational)](https://github.com/MilesCranmer/PySR/discussions)|[![Paper](https://img.shields.io/badge/arXiv-2305.01582-b31b1b)](https://arxiv.org/abs/2305.01582)|[![Colab](https://img.shields.io/badge/colab-notebook-yellow)](https://colab.research.google.com/github/MilesCranmer/PySR/blob/master/examples/pysr_demo.ipynb)|
 
 | **pip** | **conda** | **Stats** |
 | :---: | :---: | :---: |

docs/options.md

@@ -96,7 +96,7 @@ you want `pysr` to use.
 
 ## Populations
 
-By default, `populations=100`, but you can set a different
+By default, `populations=15`, but you can set a different
 number of populations with this option.
 More populations may increase
 the diversity of equations discovered, though will take longer to train.

pysr/version.py

@@ -1,2 +1,2 @@
-__version__ = "0.12.3"
-__symbolic_regression_jl_version__ = "0.17.1"
+__version__ = "0.13.0"
+__symbolic_regression_jl_version__ = "0.18.0"