pysr


Namepysr JSON
Version 0.18.0 PyPI version JSON
download
home_pageNone
SummarySimple and efficient symbolic regression
upload_time2024-03-24 04:43:55
maintainerNone
docs_urlNone
authorNone
requires_python>=3.7
licenseApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2020 Miles Cranmer Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [//]: # (Logo:)

<div align="center">

PySR searches for symbolic expressions which optimize a particular objective.

https://github.com/MilesCranmer/PySR/assets/7593028/c8511a49-b408-488f-8f18-b1749078268f


# PySR: High-Performance Symbolic Regression in Python and Julia

| **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** |
| :---: | :---: | :---: |
|[![PyPI version](https://badge.fury.io/py/pysr.svg)](https://badge.fury.io/py/pysr)|[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pysr.svg)](https://anaconda.org/conda-forge/pysr)|<div align="center">pip: [![Downloads](https://static.pepy.tech/badge/pysr)](https://pypi.org/project/pysr/)<br>conda: [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pysr/badges/downloads.svg)](https://anaconda.org/conda-forge/pysr)</div>|

</div>

If you find PySR useful, please cite the paper [arXiv:2305.01582](https://arxiv.org/abs/2305.01582).
If you've finished a project with PySR, please submit a PR to showcase your work on the [research showcase page](https://astroautomata.com/PySR/papers)!

**Contents**:

- [Why PySR?](#why-pysr)
- [Installation](#installation)
- [Quickstart](#quickstart)
- [โ†’ Documentation](https://astroautomata.com/PySR)
- [Contributors](#contributors-)

<div align="center">

### Test status

| **Linux** | **Windows** | **macOS** |
|---|---|---|
|[![Linux](https://github.com/MilesCranmer/PySR/actions/workflows/CI.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI.yml)|[![Windows](https://github.com/MilesCranmer/PySR/actions/workflows/CI_Windows.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_Windows.yml)|[![macOS](https://github.com/MilesCranmer/PySR/actions/workflows/CI_mac.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_mac.yml)|
| **Docker** | **Conda** | **Coverage** |
|[![Docker](https://github.com/MilesCranmer/PySR/actions/workflows/CI_docker.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_docker.yml)|[![conda-forge](https://github.com/MilesCranmer/PySR/actions/workflows/CI_conda_forge.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_conda_forge.yml)|[![Coverage Status](https://coveralls.io/repos/github/MilesCranmer/PySR/badge.svg?branch=master&service=github)](https://coveralls.io/github/MilesCranmer/PySR)|

</div>

## Why PySR?

PySR is an open-source tool for *Symbolic Regression*: a machine learning
task where the goal is to find an interpretable symbolic expression that optimizes some objective.

Over a period of several years, PySR has been engineered from the ground up
to be (1) as high-performance as possible,
(2) as configurable as possible, and (3) easy to use.
PySR is developed alongside the Julia library [SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl),
which forms the powerful search engine of PySR.
The details of these algorithms are described in the [PySR paper](https://arxiv.org/abs/2305.01582).

Symbolic regression works best on low-dimensional datasets, but
one can also extend these approaches to higher-dimensional
spaces by using "*Symbolic Distillation*" of Neural Networks, as explained in
[2006.11287](https://arxiv.org/abs/2006.11287), where we apply
it to N-body problems. Here, one essentially uses
symbolic regression to convert a neural net
to an analytic equation. Thus, these tools simultaneously present
an explicit and powerful way to interpret deep neural networks.

## Installation

### Pip

You can install PySR with pip:

```bash
pip install pysr
```

Julia dependencies will be installed at first import.

### Conda

Similarly, with conda:

```bash
conda install -c conda-forge pysr
```


### Docker

You can also use the `Dockerfile` to install PySR in a docker container

1. Clone this repo.
2. Within the repo's directory, build the docker container:
```bash
docker build -t pysr .
```
3. You can then start the container with an IPython execution with:
```bash
docker run -it --rm pysr ipython
```

For more details, see the [docker section](#docker).

---

### Troubleshooting

One issue you might run into can result in a hard crash at import with
a message like "`GLIBCXX_...` not found". This is due to another one of the Python dependencies
loading an incorrect `libstdc++` library. To fix this, you should modify your
`LD_LIBRARY_PATH` variable to reference the Julia libraries. For example, if the Julia
version of `libstdc++.so` is located in `$HOME/.julia/juliaup/julia-1.10.0+0.x64.linux.gnu/lib/julia/`
(which likely differs on your system!), you could add:

```
export LD_LIBRARY_PATH=$HOME/.julia/juliaup/julia-1.10.0+0.x64.linux.gnu/lib/julia/:$LD_LIBRARY_PATH
```

to your `.bashrc` or `.zshrc` file.


## Quickstart

You might wish to try the interactive tutorial [here](https://colab.research.google.com/github/MilesCranmer/PySR/blob/master/examples/pysr_demo.ipynb), which uses the notebook in `examples/pysr_demo.ipynb`.

In practice, I highly recommend using IPython rather than Jupyter, as the printing is much nicer.
Below is a quick demo here which you can paste into a Python runtime.
First, let's import numpy to generate some test data:

```python
import numpy as np

X = 2 * np.random.randn(100, 5)
y = 2.5382 * np.cos(X[:, 3]) + X[:, 0] ** 2 - 0.5
```

We have created a dataset with 100 datapoints, with 5 features each.
The relation we wish to model is $2.5382 \cos(x_3) + x_0^2 - 0.5$.

Now, let's create a PySR model and train it.
PySR's main interface is in the style of scikit-learn:

```python
from pysr import PySRRegressor

model = PySRRegressor(
    niterations=40,  # < Increase me for better results
    binary_operators=["+", "*"],
    unary_operators=[
        "cos",
        "exp",
        "sin",
        "inv(x) = 1/x",
        # ^ Custom operator (julia syntax)
    ],
    extra_sympy_mappings={"inv": lambda x: 1 / x},
    # ^ Define operator for SymPy as well
    elementwise_loss="loss(prediction, target) = (prediction - target)^2",
    # ^ Custom loss function (julia syntax)
)
```

This will set up the model for 40 iterations of the search code, which contains hundreds of thousands of mutations and equation evaluations.

Let's train this model on our dataset:

```python
model.fit(X, y)
```

Internally, this launches a Julia process which will do a multithreaded search for equations to fit the dataset.

Equations will be printed during training, and once you are satisfied, you may
quit early by hitting 'q' and then \<enter\>.

After the model has been fit, you can run `model.predict(X)`
to see the predictions on a given dataset using the automatically-selected expression,
or, for example, `model.predict(X, 3)` to see the predictions of the 3rd equation.

You may run:

```python
print(model)
```

to print the learned equations:

```python
PySRRegressor.equations_ = [
	   pick     score                                           equation       loss  complexity
	0        0.000000                                          4.4324794  42.354317           1
	1        1.255691                                          (x0 * x0)   3.437307           3
	2        0.011629                          ((x0 * x0) + -0.28087974)   3.358285           5
	3        0.897855                              ((x0 * x0) + cos(x3))   1.368308           6
	4        0.857018                ((x0 * x0) + (cos(x3) * 2.4566472))   0.246483           8
	5  >>>>       inf  (((cos(x3) + -0.19699033) * 2.5382123) + (x0 *...   0.000000          10
]
```

This arrow in the `pick` column indicates which equation is currently selected by your
`model_selection` strategy for prediction.
(You may change `model_selection` after `.fit(X, y)` as well.)

`model.equations_` is a pandas DataFrame containing all equations, including callable format
(`lambda_format`),
SymPy format (`sympy_format` - which you can also get with `model.sympy()`), and even JAX and PyTorch format
(both of which are differentiable - which you can get with `model.jax()` and `model.pytorch()`).

Note that `PySRRegressor` stores the state of the last search, and will restart from where you left off the next time you call `.fit()`, assuming you have set `warm_start=True`.
This will cause problems if significant changes are made to the search parameters (like changing the operators). You can run `model.reset()` to reset the state.

You will notice that PySR will save two files:
`hall_of_fame...csv` and `hall_of_fame...pkl`.
The csv file is a list of equations and their losses, and the pkl file is a saved state of the model.
You may load the model from the `pkl` file with:

```python
model = PySRRegressor.from_file("hall_of_fame.2022-08-10_100832.281.pkl")
```

There are several other useful features such as denoising (e.g., `denoise=True`),
feature selection (e.g., `select_k_features=3`).
For examples of these and other features, see the [examples page](https://astroautomata.com/PySR/examples).
For a detailed look at more options, see the [options page](https://astroautomata.com/PySR/options).
You can also see the full API at [this page](https://astroautomata.com/PySR/api).
There are also tips for tuning PySR on [this page](https://astroautomata.com/PySR/tuning).

### Detailed Example

The following code makes use of as many PySR features as possible.
Note that is just a demonstration of features and you should not use this example as-is.
For details on what each parameter does, check out the [API page](https://astroautomata.com/PySR/api/).

```python
model = PySRRegressor(
    procs=4,
    populations=8,
    # ^ 2 populations per core, so one is always running.
    population_size=50,
    # ^ Slightly larger populations, for greater diversity.
    ncycles_per_iteration=500,
    # ^ Generations between migrations.
    niterations=10000000,  # Run forever
    early_stop_condition=(
        "stop_if(loss, complexity) = loss < 1e-6 && complexity < 10"
        # Stop early if we find a good and simple equation
    ),
    timeout_in_seconds=60 * 60 * 24,
    # ^ Alternatively, stop after 24 hours have passed.
    maxsize=50,
    # ^ Allow greater complexity.
    maxdepth=10,
    # ^ But, avoid deep nesting.
    binary_operators=["*", "+", "-", "/"],
    unary_operators=["square", "cube", "exp", "cos2(x)=cos(x)^2"],
    constraints={
        "/": (-1, 9),
        "square": 9,
        "cube": 9,
        "exp": 9,
    },
    # ^ Limit the complexity within each argument.
    # "inv": (-1, 9) states that the numerator has no constraint,
    # but the denominator has a max complexity of 9.
    # "exp": 9 simply states that `exp` can only have
    # an expression of complexity 9 as input.
    nested_constraints={
        "square": {"square": 1, "cube": 1, "exp": 0},
        "cube": {"square": 1, "cube": 1, "exp": 0},
        "exp": {"square": 1, "cube": 1, "exp": 0},
    },
    # ^ Nesting constraints on operators. For example,
    # "square(exp(x))" is not allowed, since "square": {"exp": 0}.
    complexity_of_operators={"/": 2, "exp": 3},
    # ^ Custom complexity of particular operators.
    complexity_of_constants=2,
    # ^ Punish constants more than variables
    select_k_features=4,
    # ^ Train on only the 4 most important features
    progress=True,
    # ^ Can set to false if printing to a file.
    weight_randomize=0.1,
    # ^ Randomize the tree much more frequently
    cluster_manager=None,
    # ^ Can be set to, e.g., "slurm", to run a slurm
    # cluster. Just launch one script from the head node.
    precision=64,
    # ^ Higher precision calculations.
    warm_start=True,
    # ^ Start from where left off.
    bumper=True,
    # ^ Faster evaluation (experimental)
    julia_project=None,
    # ^ Can set to the path of a folder containing the
    # "SymbolicRegression.jl" repo, for custom modifications.
    update=False,
    # ^ Don't update Julia packages
    extra_sympy_mappings={"cos2": lambda x: sympy.cos(x)**2},
    # extra_torch_mappings={sympy.cos: torch.cos},
    # ^ Not needed as cos already defined, but this
    # is how you define custom torch operators.
    # extra_jax_mappings={sympy.cos: "jnp.cos"},
    # ^ For JAX, one passes a string.
)
```

### Docker

You can also test out PySR in Docker, without
installing it locally, by running the following command in
the root directory of this repo:

```bash
docker build -t pysr .
```

This builds an image called `pysr` for your system's architecture,
which also contains IPython.

You can then run this with:

```bash
docker run -it --rm -v "$PWD:/data" pysr ipython
```

which will link the current directory to the container's `/data` directory
and then launch ipython.

If you have issues building for your system's architecture,
you can emulate another architecture by including `--platform linux/amd64`,
before the `build` and `run` commands.

<div align="center">

### Contributors โœจ

</div>

We are eager to welcome new contributors! Check out our contributors [guide](https://github.com/MilesCranmer/PySR/blob/master/CONTRIBUTORS.md) for tips ๐Ÿš€.
If you have an idea for a new feature, don't hesitate to share it on the [issues](https://github.com/MilesCranmer/PySR/issues) or [discussions](https://github.com/MilesCranmer/PySR/discussions) page.

<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
<!-- prettier-ignore-start -->
<!-- markdownlint-disable -->
<table>
  <tbody>
    <tr>
      <td align="center" valign="top" width="12.5%"><a href="https://www.linkedin.com/in/markkittisopikul/"><img src="https://avatars.githubusercontent.com/u/8062771?v=4?s=50" width="50px;" alt="Mark Kittisopikul"/><br /><sub><b>Mark Kittisopikul</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=mkitti" title="Code">๐Ÿ’ป</a> <a href="#ideas-mkitti" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-mkitti" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#platform-mkitti" title="Packaging/porting to new platform">๐Ÿ“ฆ</a> <a href="#promotion-mkitti" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Amkitti" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#tool-mkitti" title="Tools">๐Ÿ”ง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=mkitti" title="Tests">โš ๏ธ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/tttc3"><img src="https://avatars.githubusercontent.com/u/97948946?v=4?s=50" width="50px;" alt="T Coxon"/><br /><sub><b>T Coxon</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Atttc3" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=tttc3" title="Code">๐Ÿ’ป</a> <a href="#plugin-tttc3" title="Plugin/utility libraries">๐Ÿ”Œ</a> <a href="#ideas-tttc3" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-tttc3" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#maintenance-tttc3" title="Maintenance">๐Ÿšง</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Atttc3" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#tool-tttc3" title="Tools">๐Ÿ”ง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=tttc3" title="Tests">โš ๏ธ</a> <a href="#userTesting-tttc3" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/DhananjayAshok"><img src="https://avatars.githubusercontent.com/u/46792537?v=4?s=50" width="50px;" alt="Dhananjay Ashok"/><br /><sub><b>Dhananjay Ashok</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=DhananjayAshok" title="Code">๐Ÿ’ป</a> <a href="#example-DhananjayAshok" title="Examples.">๐ŸŒ</a> <a href="#ideas-DhananjayAshok" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#maintenance-DhananjayAshok" title="Maintenance">๐Ÿšง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=DhananjayAshok" title="Tests">โš ๏ธ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://gitlab.com/johanbluecreek"><img src="https://avatars.githubusercontent.com/u/852554?v=4?s=50" width="50px;" alt="Johan Blรฅbรคck"/><br /><sub><b>Johan Blรฅbรคck</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Ajohanbluecreek" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=johanbluecreek" title="Code">๐Ÿ’ป</a> <a href="#ideas-johanbluecreek" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#maintenance-johanbluecreek" title="Maintenance">๐Ÿšง</a> <a href="#promotion-johanbluecreek" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Ajohanbluecreek" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=johanbluecreek" title="Tests">โš ๏ธ</a> <a href="#userTesting-johanbluecreek" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://mathopt.de/people/martensen/index.php"><img src="https://avatars.githubusercontent.com/u/20998300?v=4?s=50" width="50px;" alt="JuliusMartensen"/><br /><sub><b>JuliusMartensen</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3AAlCap23" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=AlCap23" title="Code">๐Ÿ’ป</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=AlCap23" title="Documentation">๐Ÿ“–</a> <a href="#plugin-AlCap23" title="Plugin/utility libraries">๐Ÿ”Œ</a> <a href="#ideas-AlCap23" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-AlCap23" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#maintenance-AlCap23" title="Maintenance">๐Ÿšง</a> <a href="#platform-AlCap23" title="Packaging/porting to new platform">๐Ÿ“ฆ</a> <a href="#promotion-AlCap23" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AAlCap23" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#tool-AlCap23" title="Tools">๐Ÿ”ง</a> <a href="#userTesting-AlCap23" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/ngam"><img src="https://avatars.githubusercontent.com/u/67342040?v=4?s=50" width="50px;" alt="ngam"/><br /><sub><b>ngam</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=ngam" title="Code">๐Ÿ’ป</a> <a href="#infra-ngam" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#platform-ngam" title="Packaging/porting to new platform">๐Ÿ“ฆ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Angam" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#tool-ngam" title="Tools">๐Ÿ”ง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=ngam" title="Tests">โš ๏ธ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://cjdoris.github.io/"><img src="https://avatars.githubusercontent.com/u/1844215?v=4?s=50" width="50px;" alt="Christopher Rowley"/><br /><sub><b>Christopher Rowley</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=cjdoris" title="Code">๐Ÿ’ป</a> <a href="#ideas-cjdoris" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-cjdoris" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#platform-cjdoris" title="Packaging/porting to new platform">๐Ÿ“ฆ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Acjdoris" title="Reviewed Pull Requests">๐Ÿ‘€</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/kazewong"><img src="https://avatars.githubusercontent.com/u/8803931?v=4?s=50" width="50px;" alt="Kaze Wong"/><br /><sub><b>Kaze Wong</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Akazewong" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=kazewong" title="Code">๐Ÿ’ป</a> <a href="#ideas-kazewong" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-kazewong" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#maintenance-kazewong" title="Maintenance">๐Ÿšง</a> <a href="#promotion-kazewong" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Akazewong" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#research-kazewong" title="Research">๐Ÿ”ฌ</a> <a href="#userTesting-kazewong" title="User Testing">๐Ÿ““</a></td>
    </tr>
    <tr>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/ChrisRackauckas"><img src="https://avatars.githubusercontent.com/u/1814174?v=4?s=50" width="50px;" alt="Christopher Rackauckas"/><br /><sub><b>Christopher Rackauckas</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3AChrisRackauckas" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=ChrisRackauckas" title="Code">๐Ÿ’ป</a> <a href="#plugin-ChrisRackauckas" title="Plugin/utility libraries">๐Ÿ”Œ</a> <a href="#ideas-ChrisRackauckas" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-ChrisRackauckas" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#promotion-ChrisRackauckas" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AChrisRackauckas" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#research-ChrisRackauckas" title="Research">๐Ÿ”ฌ</a> <a href="#tool-ChrisRackauckas" title="Tools">๐Ÿ”ง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=ChrisRackauckas" title="Tests">โš ๏ธ</a> <a href="#userTesting-ChrisRackauckas" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://kidger.site/"><img src="https://avatars.githubusercontent.com/u/33688385?v=4?s=50" width="50px;" alt="Patrick Kidger"/><br /><sub><b>Patrick Kidger</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Apatrick-kidger" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=patrick-kidger" title="Code">๐Ÿ’ป</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=patrick-kidger" title="Documentation">๐Ÿ“–</a> <a href="#plugin-patrick-kidger" title="Plugin/utility libraries">๐Ÿ”Œ</a> <a href="#ideas-patrick-kidger" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#maintenance-patrick-kidger" title="Maintenance">๐Ÿšง</a> <a href="#promotion-patrick-kidger" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Apatrick-kidger" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#research-patrick-kidger" title="Research">๐Ÿ”ฌ</a> <a href="#tool-patrick-kidger" title="Tools">๐Ÿ”ง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=patrick-kidger" title="Tests">โš ๏ธ</a> <a href="#userTesting-patrick-kidger" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/OkonSamuel"><img src="https://avatars.githubusercontent.com/u/39421418?v=4?s=50" width="50px;" alt="Okon Samuel"/><br /><sub><b>Okon Samuel</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3AOkonSamuel" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=OkonSamuel" title="Code">๐Ÿ’ป</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=OkonSamuel" title="Documentation">๐Ÿ“–</a> <a href="#maintenance-OkonSamuel" title="Maintenance">๐Ÿšง</a> <a href="#ideas-OkonSamuel" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-OkonSamuel" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AOkonSamuel" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=OkonSamuel" title="Tests">โš ๏ธ</a> <a href="#userTesting-OkonSamuel" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/w2ll2am"><img src="https://avatars.githubusercontent.com/u/16038228?v=4?s=50" width="50px;" alt="William Booth-Clibborn"/><br /><sub><b>William Booth-Clibborn</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=w2ll2am" title="Code">๐Ÿ’ป</a> <a href="#example-w2ll2am" title="Examples.">๐ŸŒ</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=w2ll2am" title="Documentation">๐Ÿ“–</a> <a href="#userTesting-w2ll2am" title="User Testing">๐Ÿ““</a> <a href="#maintenance-w2ll2am" title="Maintenance">๐Ÿšง</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Aw2ll2am" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#tool-w2ll2am" title="Tools">๐Ÿ”ง</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=w2ll2am" title="Tests">โš ๏ธ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://pablo-lemos.github.io/"><img src="https://avatars.githubusercontent.com/u/38078898?v=4?s=50" width="50px;" alt="Pablo Lemos"/><br /><sub><b>Pablo Lemos</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3APablo-Lemos" title="Bug reports">๐Ÿ›</a> <a href="#ideas-Pablo-Lemos" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-Pablo-Lemos" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3APablo-Lemos" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#research-Pablo-Lemos" title="Research">๐Ÿ”ฌ</a> <a href="#userTesting-Pablo-Lemos" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/Moelf"><img src="https://avatars.githubusercontent.com/u/5306213?v=4?s=50" width="50px;" alt="Jerry Ling"/><br /><sub><b>Jerry Ling</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3AMoelf" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=Moelf" title="Code">๐Ÿ’ป</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=Moelf" title="Documentation">๐Ÿ“–</a> <a href="#example-Moelf" title="Examples.">๐ŸŒ</a> <a href="#ideas-Moelf" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-Moelf" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AMoelf" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#userTesting-Moelf" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/CharFox1"><img src="https://avatars.githubusercontent.com/u/35052672?v=4?s=50" width="50px;" alt="Charles Fox"/><br /><sub><b>Charles Fox</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3ACharFox1" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=CharFox1" title="Code">๐Ÿ’ป</a> <a href="#ideas-CharFox1" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#maintenance-CharFox1" title="Maintenance">๐Ÿšง</a> <a href="#promotion-CharFox1" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3ACharFox1" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#research-CharFox1" title="Research">๐Ÿ”ฌ</a> <a href="#userTesting-CharFox1" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/johannbrehmer"><img src="https://avatars.githubusercontent.com/u/17068560?v=4?s=50" width="50px;" alt="Johann Brehmer"/><br /><sub><b>Johann Brehmer</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=johannbrehmer" title="Code">๐Ÿ’ป</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=johannbrehmer" title="Documentation">๐Ÿ“–</a> <a href="#ideas-johannbrehmer" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-johannbrehmer" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Ajohannbrehmer" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#research-johannbrehmer" title="Research">๐Ÿ”ฌ</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=johannbrehmer" title="Tests">โš ๏ธ</a> <a href="#userTesting-johannbrehmer" title="User Testing">๐Ÿ““</a></td>
    </tr>
    <tr>
      <td align="center" valign="top" width="12.5%"><a href="http://www.cosmicmar.com/"><img src="https://avatars.githubusercontent.com/u/1510968?v=4?s=50" width="50px;" alt="Marius Millea"/><br /><sub><b>Marius Millea</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=marius311" title="Code">๐Ÿ’ป</a> <a href="#ideas-marius311" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-marius311" title="Promotion">๐Ÿ“ฃ</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Amarius311" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#userTesting-marius311" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://gitlab.com/cobac"><img src="https://avatars.githubusercontent.com/u/27872944?v=4?s=50" width="50px;" alt="Coba"/><br /><sub><b>Coba</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Acobac" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=cobac" title="Code">๐Ÿ’ป</a> <a href="#ideas-cobac" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Acobac" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#userTesting-cobac" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/foxtran"><img src="https://avatars.githubusercontent.com/u/39676482?v=4?s=50" width="50px;" alt="foxtran"/><br /><sub><b>foxtran</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=foxtran" title="Code">๐Ÿ’ป</a> <a href="#ideas-foxtran" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#maintenance-foxtran" title="Maintenance">๐Ÿšง</a> <a href="#tool-foxtran" title="Tools">๐Ÿ”ง</a> <a href="#userTesting-foxtran" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://smhasan.com/"><img src="https://avatars.githubusercontent.com/u/36223598?v=4?s=50" width="50px;" alt="Shah Mahdi Hasan "/><br /><sub><b>Shah Mahdi Hasan </b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Atanweer-mahdi" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=tanweer-mahdi" title="Code">๐Ÿ’ป</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Atanweer-mahdi" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#userTesting-tanweer-mahdi" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/pitmonticone"><img src="https://avatars.githubusercontent.com/u/38562595?v=4?s=50" width="50px;" alt="Pietro Monticone"/><br /><sub><b>Pietro Monticone</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Apitmonticone" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=pitmonticone" title="Documentation">๐Ÿ“–</a> <a href="#ideas-pitmonticone" title="Ideas, planning, and feedback.">๐Ÿ’ก</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/sheevy"><img src="https://avatars.githubusercontent.com/u/1525683?v=4?s=50" width="50px;" alt="Mateusz Kubica"/><br /><sub><b>Mateusz Kubica</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=sheevy" title="Documentation">๐Ÿ“–</a> <a href="#ideas-sheevy" title="Ideas, planning, and feedback.">๐Ÿ’ก</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://jaywadekar.github.io/"><img src="https://avatars.githubusercontent.com/u/5493388?v=4?s=50" width="50px;" alt="Jay Wadekar"/><br /><sub><b>Jay Wadekar</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3AJayWadekar" title="Bug reports">๐Ÿ›</a> <a href="#ideas-JayWadekar" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-JayWadekar" title="Promotion">๐Ÿ“ฃ</a> <a href="#research-JayWadekar" title="Research">๐Ÿ”ฌ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/ablaom"><img src="https://avatars.githubusercontent.com/u/30517088?v=4?s=50" width="50px;" alt="Anthony Blaom, PhD"/><br /><sub><b>Anthony Blaom, PhD</b></sub></a><br /><a href="#infra-ablaom" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a> <a href="#ideas-ablaom" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Aablaom" title="Reviewed Pull Requests">๐Ÿ‘€</a></td>
    </tr>
    <tr>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/Jgmedina95"><img src="https://avatars.githubusercontent.com/u/97254349?v=4?s=50" width="50px;" alt="Jgmedina95"/><br /><sub><b>Jgmedina95</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3AJgmedina95" title="Bug reports">๐Ÿ›</a> <a href="#ideas-Jgmedina95" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AJgmedina95" title="Reviewed Pull Requests">๐Ÿ‘€</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/mcabbott"><img src="https://avatars.githubusercontent.com/u/32575566?v=4?s=50" width="50px;" alt="Michael Abbott"/><br /><sub><b>Michael Abbott</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=mcabbott" title="Code">๐Ÿ’ป</a> <a href="#ideas-mcabbott" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Amcabbott" title="Reviewed Pull Requests">๐Ÿ‘€</a> <a href="#tool-mcabbott" title="Tools">๐Ÿ”ง</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/oscardssmith"><img src="https://avatars.githubusercontent.com/u/11729272?v=4?s=50" width="50px;" alt="Oscar Smith"/><br /><sub><b>Oscar Smith</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=oscardssmith" title="Code">๐Ÿ’ป</a> <a href="#ideas-oscardssmith" title="Ideas, planning, and feedback.">๐Ÿ’ก</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://ericphanson.com/"><img src="https://avatars.githubusercontent.com/u/5846501?v=4?s=50" width="50px;" alt="Eric Hanson"/><br /><sub><b>Eric Hanson</b></sub></a><br /><a href="#ideas-ericphanson" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-ericphanson" title="Promotion">๐Ÿ“ฃ</a> <a href="#userTesting-ericphanson" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/henriquebecker91"><img src="https://avatars.githubusercontent.com/u/14113435?v=4?s=50" width="50px;" alt="Henrique Becker"/><br /><sub><b>Henrique Becker</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/commits?author=henriquebecker91" title="Code">๐Ÿ’ป</a> <a href="#ideas-henriquebecker91" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Ahenriquebecker91" title="Reviewed Pull Requests">๐Ÿ‘€</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/qwertyjl"><img src="https://avatars.githubusercontent.com/u/110912592?v=4?s=50" width="50px;" alt="qwertyjl"/><br /><sub><b>qwertyjl</b></sub></a><br /><a href="https://github.com/MilesCranmer/PySR/issues?q=author%3Aqwertyjl" title="Bug reports">๐Ÿ›</a> <a href="https://github.com/MilesCranmer/PySR/commits?author=qwertyjl" title="Documentation">๐Ÿ“–</a> <a href="#ideas-qwertyjl" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#userTesting-qwertyjl" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://huijzer.xyz/"><img src="https://avatars.githubusercontent.com/u/20724914?v=4?s=50" width="50px;" alt="Rik Huijzer"/><br /><sub><b>Rik Huijzer</b></sub></a><br /><a href="#ideas-rikhuijzer" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#infra-rikhuijzer" title="Infrastructure (Hosting, Build-Tools, etc)">๐Ÿš‡</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/GCaptainNemo"><img src="https://avatars.githubusercontent.com/u/43086239?v=4?s=50" width="50px;" alt="Hongyu Wang"/><br /><sub><b>Hongyu Wang</b></sub></a><br /><a href="#ideas-GCaptainNemo" title="Ideas, planning, and feedback.">๐Ÿ’ก</a> <a href="#promotion-GCaptainNemo" title="Promotion">๐Ÿ“ฃ</a> <a href="#research-GCaptainNemo" title="Research">๐Ÿ”ฌ</a></td>
    </tr>
    <tr>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/ZehaoJin"><img src="https://avatars.githubusercontent.com/u/50961376?v=4?s=50" width="50px;" alt="Zehao Jin"/><br /><sub><b>Zehao Jin</b></sub></a><br /><a href="#research-ZehaoJin" title="Research">๐Ÿ”ฌ</a> <a href="#promotion-ZehaoJin" title="Promotion">๐Ÿ“ฃ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/tmengel"><img src="https://avatars.githubusercontent.com/u/38924390?v=4?s=50" width="50px;" alt="Tanner Mengel"/><br /><sub><b>Tanner Mengel</b></sub></a><br /><a href="#research-tmengel" title="Research">๐Ÿ”ฌ</a> <a href="#promotion-tmengel" title="Promotion">๐Ÿ“ฃ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/agrundner24"><img src="https://avatars.githubusercontent.com/u/38557656?v=4?s=50" width="50px;" alt="Arthur Grundner"/><br /><sub><b>Arthur Grundner</b></sub></a><br /><a href="#research-agrundner24" title="Research">๐Ÿ”ฌ</a> <a href="#promotion-agrundner24" title="Promotion">๐Ÿ“ฃ</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://github.com/sjwetzel"><img src="https://avatars.githubusercontent.com/u/24393721?v=4?s=50" width="50px;" alt="sjwetzel"/><br /><sub><b>sjwetzel</b></sub></a><br /><a href="#research-sjwetzel" title="Research">๐Ÿ”ฌ</a> <a href="#promotion-sjwetzel" title="Promotion">๐Ÿ“ฃ</a> <a href="#userTesting-sjwetzel" title="User Testing">๐Ÿ““</a></td>
      <td align="center" valign="top" width="12.5%"><a href="https://sauravmaheshkar.github.io/"><img src="https://avatars.githubusercontent.com/u/61241031?v=4?s=50" width="50px;" alt="Saurav Maheshkar"/><br /><sub><b>Saurav Maheshkar</b></sub></a><br /><a href="#tool-SauravMaheshkar" title="Tools">๐Ÿ”ง</a></td>
    </tr>
  </tbody>
</table>

<!-- markdownlint-restore -->
<!-- prettier-ignore-end -->

<!-- ALL-CONTRIBUTORS-LIST:END -->

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "pysr",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": null,
    "keywords": null,
    "author": null,
    "author_email": "Miles Cranmer <miles.cranmer@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/11/22/2c89660652fd329cf344666e04186de874322829b1858326b6f58f4bd868/pysr-0.18.0.tar.gz",
    "platform": null,
    "description": "[//]: # (Logo:)\n\n<div align=\"center\">\n\nPySR searches for symbolic expressions which optimize a particular objective.\n\nhttps://github.com/MilesCranmer/PySR/assets/7593028/c8511a49-b408-488f-8f18-b1749078268f\n\n\n# PySR: High-Performance Symbolic Regression in Python and Julia\n\n| **Docs** | **Forums** | **Paper** | **colab demo** |\n|:---:|:---:|:---:|:---:|\n|[![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)|\n\n| **pip** | **conda** | **Stats** |\n| :---: | :---: | :---: |\n|[![PyPI version](https://badge.fury.io/py/pysr.svg)](https://badge.fury.io/py/pysr)|[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pysr.svg)](https://anaconda.org/conda-forge/pysr)|<div align=\"center\">pip: [![Downloads](https://static.pepy.tech/badge/pysr)](https://pypi.org/project/pysr/)<br>conda: [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pysr/badges/downloads.svg)](https://anaconda.org/conda-forge/pysr)</div>|\n\n</div>\n\nIf you find PySR useful, please cite the paper [arXiv:2305.01582](https://arxiv.org/abs/2305.01582).\nIf you've finished a project with PySR, please submit a PR to showcase your work on the [research showcase page](https://astroautomata.com/PySR/papers)!\n\n**Contents**:\n\n- [Why PySR?](#why-pysr)\n- [Installation](#installation)\n- [Quickstart](#quickstart)\n- [\u2192 Documentation](https://astroautomata.com/PySR)\n- [Contributors](#contributors-)\n\n<div align=\"center\">\n\n### Test status\n\n| **Linux** | **Windows** | **macOS** |\n|---|---|---|\n|[![Linux](https://github.com/MilesCranmer/PySR/actions/workflows/CI.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI.yml)|[![Windows](https://github.com/MilesCranmer/PySR/actions/workflows/CI_Windows.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_Windows.yml)|[![macOS](https://github.com/MilesCranmer/PySR/actions/workflows/CI_mac.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_mac.yml)|\n| **Docker** | **Conda** | **Coverage** |\n|[![Docker](https://github.com/MilesCranmer/PySR/actions/workflows/CI_docker.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_docker.yml)|[![conda-forge](https://github.com/MilesCranmer/PySR/actions/workflows/CI_conda_forge.yml/badge.svg)](https://github.com/MilesCranmer/PySR/actions/workflows/CI_conda_forge.yml)|[![Coverage Status](https://coveralls.io/repos/github/MilesCranmer/PySR/badge.svg?branch=master&service=github)](https://coveralls.io/github/MilesCranmer/PySR)|\n\n</div>\n\n## Why PySR?\n\nPySR is an open-source tool for *Symbolic Regression*: a machine learning\ntask where the goal is to find an interpretable symbolic expression that optimizes some objective.\n\nOver a period of several years, PySR has been engineered from the ground up\nto be (1) as high-performance as possible,\n(2) as configurable as possible, and (3) easy to use.\nPySR is developed alongside the Julia library [SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl),\nwhich forms the powerful search engine of PySR.\nThe details of these algorithms are described in the [PySR paper](https://arxiv.org/abs/2305.01582).\n\nSymbolic regression works best on low-dimensional datasets, but\none can also extend these approaches to higher-dimensional\nspaces by using \"*Symbolic Distillation*\" of Neural Networks, as explained in\n[2006.11287](https://arxiv.org/abs/2006.11287), where we apply\nit to N-body problems. Here, one essentially uses\nsymbolic regression to convert a neural net\nto an analytic equation. Thus, these tools simultaneously present\nan explicit and powerful way to interpret deep neural networks.\n\n## Installation\n\n### Pip\n\nYou can install PySR with pip:\n\n```bash\npip install pysr\n```\n\nJulia dependencies will be installed at first import.\n\n### Conda\n\nSimilarly, with conda:\n\n```bash\nconda install -c conda-forge pysr\n```\n\n\n### Docker\n\nYou can also use the `Dockerfile` to install PySR in a docker container\n\n1. Clone this repo.\n2. Within the repo's directory, build the docker container:\n```bash\ndocker build -t pysr .\n```\n3. You can then start the container with an IPython execution with:\n```bash\ndocker run -it --rm pysr ipython\n```\n\nFor more details, see the [docker section](#docker).\n\n---\n\n### Troubleshooting\n\nOne issue you might run into can result in a hard crash at import with\na message like \"`GLIBCXX_...` not found\". This is due to another one of the Python dependencies\nloading an incorrect `libstdc++` library. To fix this, you should modify your\n`LD_LIBRARY_PATH` variable to reference the Julia libraries. For example, if the Julia\nversion of `libstdc++.so` is located in `$HOME/.julia/juliaup/julia-1.10.0+0.x64.linux.gnu/lib/julia/`\n(which likely differs on your system!), you could add:\n\n```\nexport LD_LIBRARY_PATH=$HOME/.julia/juliaup/julia-1.10.0+0.x64.linux.gnu/lib/julia/:$LD_LIBRARY_PATH\n```\n\nto your `.bashrc` or `.zshrc` file.\n\n\n## Quickstart\n\nYou might wish to try the interactive tutorial [here](https://colab.research.google.com/github/MilesCranmer/PySR/blob/master/examples/pysr_demo.ipynb), which uses the notebook in `examples/pysr_demo.ipynb`.\n\nIn practice, I highly recommend using IPython rather than Jupyter, as the printing is much nicer.\nBelow is a quick demo here which you can paste into a Python runtime.\nFirst, let's import numpy to generate some test data:\n\n```python\nimport numpy as np\n\nX = 2 * np.random.randn(100, 5)\ny = 2.5382 * np.cos(X[:, 3]) + X[:, 0] ** 2 - 0.5\n```\n\nWe have created a dataset with 100 datapoints, with 5 features each.\nThe relation we wish to model is $2.5382 \\cos(x_3) + x_0^2 - 0.5$.\n\nNow, let's create a PySR model and train it.\nPySR's main interface is in the style of scikit-learn:\n\n```python\nfrom pysr import PySRRegressor\n\nmodel = PySRRegressor(\n    niterations=40,  # < Increase me for better results\n    binary_operators=[\"+\", \"*\"],\n    unary_operators=[\n        \"cos\",\n        \"exp\",\n        \"sin\",\n        \"inv(x) = 1/x\",\n        # ^ Custom operator (julia syntax)\n    ],\n    extra_sympy_mappings={\"inv\": lambda x: 1 / x},\n    # ^ Define operator for SymPy as well\n    elementwise_loss=\"loss(prediction, target) = (prediction - target)^2\",\n    # ^ Custom loss function (julia syntax)\n)\n```\n\nThis will set up the model for 40 iterations of the search code, which contains hundreds of thousands of mutations and equation evaluations.\n\nLet's train this model on our dataset:\n\n```python\nmodel.fit(X, y)\n```\n\nInternally, this launches a Julia process which will do a multithreaded search for equations to fit the dataset.\n\nEquations will be printed during training, and once you are satisfied, you may\nquit early by hitting 'q' and then \\<enter\\>.\n\nAfter the model has been fit, you can run `model.predict(X)`\nto see the predictions on a given dataset using the automatically-selected expression,\nor, for example, `model.predict(X, 3)` to see the predictions of the 3rd equation.\n\nYou may run:\n\n```python\nprint(model)\n```\n\nto print the learned equations:\n\n```python\nPySRRegressor.equations_ = [\n\t   pick     score                                           equation       loss  complexity\n\t0        0.000000                                          4.4324794  42.354317           1\n\t1        1.255691                                          (x0 * x0)   3.437307           3\n\t2        0.011629                          ((x0 * x0) + -0.28087974)   3.358285           5\n\t3        0.897855                              ((x0 * x0) + cos(x3))   1.368308           6\n\t4        0.857018                ((x0 * x0) + (cos(x3) * 2.4566472))   0.246483           8\n\t5  >>>>       inf  (((cos(x3) + -0.19699033) * 2.5382123) + (x0 *...   0.000000          10\n]\n```\n\nThis arrow in the `pick` column indicates which equation is currently selected by your\n`model_selection` strategy for prediction.\n(You may change `model_selection` after `.fit(X, y)` as well.)\n\n`model.equations_` is a pandas DataFrame containing all equations, including callable format\n(`lambda_format`),\nSymPy format (`sympy_format` - which you can also get with `model.sympy()`), and even JAX and PyTorch format\n(both of which are differentiable - which you can get with `model.jax()` and `model.pytorch()`).\n\nNote that `PySRRegressor` stores the state of the last search, and will restart from where you left off the next time you call `.fit()`, assuming you have set `warm_start=True`.\nThis will cause problems if significant changes are made to the search parameters (like changing the operators). You can run `model.reset()` to reset the state.\n\nYou will notice that PySR will save two files:\n`hall_of_fame...csv` and `hall_of_fame...pkl`.\nThe csv file is a list of equations and their losses, and the pkl file is a saved state of the model.\nYou may load the model from the `pkl` file with:\n\n```python\nmodel = PySRRegressor.from_file(\"hall_of_fame.2022-08-10_100832.281.pkl\")\n```\n\nThere are several other useful features such as denoising (e.g., `denoise=True`),\nfeature selection (e.g., `select_k_features=3`).\nFor examples of these and other features, see the [examples page](https://astroautomata.com/PySR/examples).\nFor a detailed look at more options, see the [options page](https://astroautomata.com/PySR/options).\nYou can also see the full API at [this page](https://astroautomata.com/PySR/api).\nThere are also tips for tuning PySR on [this page](https://astroautomata.com/PySR/tuning).\n\n### Detailed Example\n\nThe following code makes use of as many PySR features as possible.\nNote that is just a demonstration of features and you should not use this example as-is.\nFor details on what each parameter does, check out the [API page](https://astroautomata.com/PySR/api/).\n\n```python\nmodel = PySRRegressor(\n    procs=4,\n    populations=8,\n    # ^ 2 populations per core, so one is always running.\n    population_size=50,\n    # ^ Slightly larger populations, for greater diversity.\n    ncycles_per_iteration=500,\n    # ^ Generations between migrations.\n    niterations=10000000,  # Run forever\n    early_stop_condition=(\n        \"stop_if(loss, complexity) = loss < 1e-6 && complexity < 10\"\n        # Stop early if we find a good and simple equation\n    ),\n    timeout_in_seconds=60 * 60 * 24,\n    # ^ Alternatively, stop after 24 hours have passed.\n    maxsize=50,\n    # ^ Allow greater complexity.\n    maxdepth=10,\n    # ^ But, avoid deep nesting.\n    binary_operators=[\"*\", \"+\", \"-\", \"/\"],\n    unary_operators=[\"square\", \"cube\", \"exp\", \"cos2(x)=cos(x)^2\"],\n    constraints={\n        \"/\": (-1, 9),\n        \"square\": 9,\n        \"cube\": 9,\n        \"exp\": 9,\n    },\n    # ^ Limit the complexity within each argument.\n    # \"inv\": (-1, 9) states that the numerator has no constraint,\n    # but the denominator has a max complexity of 9.\n    # \"exp\": 9 simply states that `exp` can only have\n    # an expression of complexity 9 as input.\n    nested_constraints={\n        \"square\": {\"square\": 1, \"cube\": 1, \"exp\": 0},\n        \"cube\": {\"square\": 1, \"cube\": 1, \"exp\": 0},\n        \"exp\": {\"square\": 1, \"cube\": 1, \"exp\": 0},\n    },\n    # ^ Nesting constraints on operators. For example,\n    # \"square(exp(x))\" is not allowed, since \"square\": {\"exp\": 0}.\n    complexity_of_operators={\"/\": 2, \"exp\": 3},\n    # ^ Custom complexity of particular operators.\n    complexity_of_constants=2,\n    # ^ Punish constants more than variables\n    select_k_features=4,\n    # ^ Train on only the 4 most important features\n    progress=True,\n    # ^ Can set to false if printing to a file.\n    weight_randomize=0.1,\n    # ^ Randomize the tree much more frequently\n    cluster_manager=None,\n    # ^ Can be set to, e.g., \"slurm\", to run a slurm\n    # cluster. Just launch one script from the head node.\n    precision=64,\n    # ^ Higher precision calculations.\n    warm_start=True,\n    # ^ Start from where left off.\n    bumper=True,\n    # ^ Faster evaluation (experimental)\n    julia_project=None,\n    # ^ Can set to the path of a folder containing the\n    # \"SymbolicRegression.jl\" repo, for custom modifications.\n    update=False,\n    # ^ Don't update Julia packages\n    extra_sympy_mappings={\"cos2\": lambda x: sympy.cos(x)**2},\n    # extra_torch_mappings={sympy.cos: torch.cos},\n    # ^ Not needed as cos already defined, but this\n    # is how you define custom torch operators.\n    # extra_jax_mappings={sympy.cos: \"jnp.cos\"},\n    # ^ For JAX, one passes a string.\n)\n```\n\n### Docker\n\nYou can also test out PySR in Docker, without\ninstalling it locally, by running the following command in\nthe root directory of this repo:\n\n```bash\ndocker build -t pysr .\n```\n\nThis builds an image called `pysr` for your system's architecture,\nwhich also contains IPython.\n\nYou can then run this with:\n\n```bash\ndocker run -it --rm -v \"$PWD:/data\" pysr ipython\n```\n\nwhich will link the current directory to the container's `/data` directory\nand then launch ipython.\n\nIf you have issues building for your system's architecture,\nyou can emulate another architecture by including `--platform linux/amd64`,\nbefore the `build` and `run` commands.\n\n<div align=\"center\">\n\n### Contributors \u2728\n\n</div>\n\nWe are eager to welcome new contributors! Check out our contributors [guide](https://github.com/MilesCranmer/PySR/blob/master/CONTRIBUTORS.md) for tips \ud83d\ude80.\nIf you have an idea for a new feature, don't hesitate to share it on the [issues](https://github.com/MilesCranmer/PySR/issues) or [discussions](https://github.com/MilesCranmer/PySR/discussions) page.\n\n<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n<!-- prettier-ignore-start -->\n<!-- markdownlint-disable -->\n<table>\n  <tbody>\n    <tr>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://www.linkedin.com/in/markkittisopikul/\"><img src=\"https://avatars.githubusercontent.com/u/8062771?v=4?s=50\" width=\"50px;\" alt=\"Mark Kittisopikul\"/><br /><sub><b>Mark Kittisopikul</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=mkitti\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-mkitti\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-mkitti\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#platform-mkitti\" title=\"Packaging/porting to new platform\">\ud83d\udce6</a> <a href=\"#promotion-mkitti\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Amkitti\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#tool-mkitti\" title=\"Tools\">\ud83d\udd27</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=mkitti\" title=\"Tests\">\u26a0\ufe0f</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/tttc3\"><img src=\"https://avatars.githubusercontent.com/u/97948946?v=4?s=50\" width=\"50px;\" alt=\"T Coxon\"/><br /><sub><b>T Coxon</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Atttc3\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=tttc3\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#plugin-tttc3\" title=\"Plugin/utility libraries\">\ud83d\udd0c</a> <a href=\"#ideas-tttc3\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-tttc3\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#maintenance-tttc3\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Atttc3\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#tool-tttc3\" title=\"Tools\">\ud83d\udd27</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=tttc3\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#userTesting-tttc3\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/DhananjayAshok\"><img src=\"https://avatars.githubusercontent.com/u/46792537?v=4?s=50\" width=\"50px;\" alt=\"Dhananjay Ashok\"/><br /><sub><b>Dhananjay Ashok</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=DhananjayAshok\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#example-DhananjayAshok\" title=\"Examples.\">\ud83c\udf0d</a> <a href=\"#ideas-DhananjayAshok\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#maintenance-DhananjayAshok\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=DhananjayAshok\" title=\"Tests\">\u26a0\ufe0f</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://gitlab.com/johanbluecreek\"><img src=\"https://avatars.githubusercontent.com/u/852554?v=4?s=50\" width=\"50px;\" alt=\"Johan Bl\u00e5b\u00e4ck\"/><br /><sub><b>Johan Bl\u00e5b\u00e4ck</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Ajohanbluecreek\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=johanbluecreek\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-johanbluecreek\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#maintenance-johanbluecreek\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#promotion-johanbluecreek\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Ajohanbluecreek\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=johanbluecreek\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#userTesting-johanbluecreek\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://mathopt.de/people/martensen/index.php\"><img src=\"https://avatars.githubusercontent.com/u/20998300?v=4?s=50\" width=\"50px;\" alt=\"JuliusMartensen\"/><br /><sub><b>JuliusMartensen</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3AAlCap23\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=AlCap23\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=AlCap23\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#plugin-AlCap23\" title=\"Plugin/utility libraries\">\ud83d\udd0c</a> <a href=\"#ideas-AlCap23\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-AlCap23\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#maintenance-AlCap23\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#platform-AlCap23\" title=\"Packaging/porting to new platform\">\ud83d\udce6</a> <a href=\"#promotion-AlCap23\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AAlCap23\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#tool-AlCap23\" title=\"Tools\">\ud83d\udd27</a> <a href=\"#userTesting-AlCap23\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/ngam\"><img src=\"https://avatars.githubusercontent.com/u/67342040?v=4?s=50\" width=\"50px;\" alt=\"ngam\"/><br /><sub><b>ngam</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=ngam\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#infra-ngam\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#platform-ngam\" title=\"Packaging/porting to new platform\">\ud83d\udce6</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Angam\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#tool-ngam\" title=\"Tools\">\ud83d\udd27</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=ngam\" title=\"Tests\">\u26a0\ufe0f</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://cjdoris.github.io/\"><img src=\"https://avatars.githubusercontent.com/u/1844215?v=4?s=50\" width=\"50px;\" alt=\"Christopher Rowley\"/><br /><sub><b>Christopher Rowley</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=cjdoris\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-cjdoris\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-cjdoris\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#platform-cjdoris\" title=\"Packaging/porting to new platform\">\ud83d\udce6</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Acjdoris\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/kazewong\"><img src=\"https://avatars.githubusercontent.com/u/8803931?v=4?s=50\" width=\"50px;\" alt=\"Kaze Wong\"/><br /><sub><b>Kaze Wong</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Akazewong\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=kazewong\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-kazewong\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-kazewong\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#maintenance-kazewong\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#promotion-kazewong\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Akazewong\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#research-kazewong\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#userTesting-kazewong\" title=\"User Testing\">\ud83d\udcd3</a></td>\n    </tr>\n    <tr>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/ChrisRackauckas\"><img src=\"https://avatars.githubusercontent.com/u/1814174?v=4?s=50\" width=\"50px;\" alt=\"Christopher Rackauckas\"/><br /><sub><b>Christopher Rackauckas</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3AChrisRackauckas\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=ChrisRackauckas\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#plugin-ChrisRackauckas\" title=\"Plugin/utility libraries\">\ud83d\udd0c</a> <a href=\"#ideas-ChrisRackauckas\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-ChrisRackauckas\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#promotion-ChrisRackauckas\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AChrisRackauckas\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#research-ChrisRackauckas\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#tool-ChrisRackauckas\" title=\"Tools\">\ud83d\udd27</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=ChrisRackauckas\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#userTesting-ChrisRackauckas\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://kidger.site/\"><img src=\"https://avatars.githubusercontent.com/u/33688385?v=4?s=50\" width=\"50px;\" alt=\"Patrick Kidger\"/><br /><sub><b>Patrick Kidger</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Apatrick-kidger\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=patrick-kidger\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=patrick-kidger\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#plugin-patrick-kidger\" title=\"Plugin/utility libraries\">\ud83d\udd0c</a> <a href=\"#ideas-patrick-kidger\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#maintenance-patrick-kidger\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#promotion-patrick-kidger\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Apatrick-kidger\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#research-patrick-kidger\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#tool-patrick-kidger\" title=\"Tools\">\ud83d\udd27</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=patrick-kidger\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#userTesting-patrick-kidger\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/OkonSamuel\"><img src=\"https://avatars.githubusercontent.com/u/39421418?v=4?s=50\" width=\"50px;\" alt=\"Okon Samuel\"/><br /><sub><b>Okon Samuel</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3AOkonSamuel\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=OkonSamuel\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=OkonSamuel\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#maintenance-OkonSamuel\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#ideas-OkonSamuel\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-OkonSamuel\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AOkonSamuel\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=OkonSamuel\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#userTesting-OkonSamuel\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/w2ll2am\"><img src=\"https://avatars.githubusercontent.com/u/16038228?v=4?s=50\" width=\"50px;\" alt=\"William Booth-Clibborn\"/><br /><sub><b>William Booth-Clibborn</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=w2ll2am\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#example-w2ll2am\" title=\"Examples.\">\ud83c\udf0d</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=w2ll2am\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#userTesting-w2ll2am\" title=\"User Testing\">\ud83d\udcd3</a> <a href=\"#maintenance-w2ll2am\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Aw2ll2am\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#tool-w2ll2am\" title=\"Tools\">\ud83d\udd27</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=w2ll2am\" title=\"Tests\">\u26a0\ufe0f</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://pablo-lemos.github.io/\"><img src=\"https://avatars.githubusercontent.com/u/38078898?v=4?s=50\" width=\"50px;\" alt=\"Pablo Lemos\"/><br /><sub><b>Pablo Lemos</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3APablo-Lemos\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"#ideas-Pablo-Lemos\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-Pablo-Lemos\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3APablo-Lemos\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#research-Pablo-Lemos\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#userTesting-Pablo-Lemos\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/Moelf\"><img src=\"https://avatars.githubusercontent.com/u/5306213?v=4?s=50\" width=\"50px;\" alt=\"Jerry Ling\"/><br /><sub><b>Jerry Ling</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3AMoelf\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=Moelf\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=Moelf\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#example-Moelf\" title=\"Examples.\">\ud83c\udf0d</a> <a href=\"#ideas-Moelf\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-Moelf\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AMoelf\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#userTesting-Moelf\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/CharFox1\"><img src=\"https://avatars.githubusercontent.com/u/35052672?v=4?s=50\" width=\"50px;\" alt=\"Charles Fox\"/><br /><sub><b>Charles Fox</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3ACharFox1\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=CharFox1\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-CharFox1\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#maintenance-CharFox1\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#promotion-CharFox1\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3ACharFox1\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#research-CharFox1\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#userTesting-CharFox1\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/johannbrehmer\"><img src=\"https://avatars.githubusercontent.com/u/17068560?v=4?s=50\" width=\"50px;\" alt=\"Johann Brehmer\"/><br /><sub><b>Johann Brehmer</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=johannbrehmer\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=johannbrehmer\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#ideas-johannbrehmer\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-johannbrehmer\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Ajohannbrehmer\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#research-johannbrehmer\" title=\"Research\">\ud83d\udd2c</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=johannbrehmer\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#userTesting-johannbrehmer\" title=\"User Testing\">\ud83d\udcd3</a></td>\n    </tr>\n    <tr>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"http://www.cosmicmar.com/\"><img src=\"https://avatars.githubusercontent.com/u/1510968?v=4?s=50\" width=\"50px;\" alt=\"Marius Millea\"/><br /><sub><b>Marius Millea</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=marius311\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-marius311\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-marius311\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Amarius311\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#userTesting-marius311\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://gitlab.com/cobac\"><img src=\"https://avatars.githubusercontent.com/u/27872944?v=4?s=50\" width=\"50px;\" alt=\"Coba\"/><br /><sub><b>Coba</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Acobac\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=cobac\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-cobac\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Acobac\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#userTesting-cobac\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/foxtran\"><img src=\"https://avatars.githubusercontent.com/u/39676482?v=4?s=50\" width=\"50px;\" alt=\"foxtran\"/><br /><sub><b>foxtran</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=foxtran\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-foxtran\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#maintenance-foxtran\" title=\"Maintenance\">\ud83d\udea7</a> <a href=\"#tool-foxtran\" title=\"Tools\">\ud83d\udd27</a> <a href=\"#userTesting-foxtran\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://smhasan.com/\"><img src=\"https://avatars.githubusercontent.com/u/36223598?v=4?s=50\" width=\"50px;\" alt=\"Shah Mahdi Hasan \"/><br /><sub><b>Shah Mahdi Hasan </b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Atanweer-mahdi\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=tanweer-mahdi\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Atanweer-mahdi\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#userTesting-tanweer-mahdi\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/pitmonticone\"><img src=\"https://avatars.githubusercontent.com/u/38562595?v=4?s=50\" width=\"50px;\" alt=\"Pietro Monticone\"/><br /><sub><b>Pietro Monticone</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Apitmonticone\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=pitmonticone\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#ideas-pitmonticone\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/sheevy\"><img src=\"https://avatars.githubusercontent.com/u/1525683?v=4?s=50\" width=\"50px;\" alt=\"Mateusz Kubica\"/><br /><sub><b>Mateusz Kubica</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=sheevy\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#ideas-sheevy\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://jaywadekar.github.io/\"><img src=\"https://avatars.githubusercontent.com/u/5493388?v=4?s=50\" width=\"50px;\" alt=\"Jay Wadekar\"/><br /><sub><b>Jay Wadekar</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3AJayWadekar\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"#ideas-JayWadekar\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-JayWadekar\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"#research-JayWadekar\" title=\"Research\">\ud83d\udd2c</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/ablaom\"><img src=\"https://avatars.githubusercontent.com/u/30517088?v=4?s=50\" width=\"50px;\" alt=\"Anthony Blaom, PhD\"/><br /><sub><b>Anthony Blaom, PhD</b></sub></a><br /><a href=\"#infra-ablaom\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a> <a href=\"#ideas-ablaom\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Aablaom\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a></td>\n    </tr>\n    <tr>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/Jgmedina95\"><img src=\"https://avatars.githubusercontent.com/u/97254349?v=4?s=50\" width=\"50px;\" alt=\"Jgmedina95\"/><br /><sub><b>Jgmedina95</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3AJgmedina95\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"#ideas-Jgmedina95\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3AJgmedina95\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/mcabbott\"><img src=\"https://avatars.githubusercontent.com/u/32575566?v=4?s=50\" width=\"50px;\" alt=\"Michael Abbott\"/><br /><sub><b>Michael Abbott</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=mcabbott\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-mcabbott\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Amcabbott\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#tool-mcabbott\" title=\"Tools\">\ud83d\udd27</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/oscardssmith\"><img src=\"https://avatars.githubusercontent.com/u/11729272?v=4?s=50\" width=\"50px;\" alt=\"Oscar Smith\"/><br /><sub><b>Oscar Smith</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=oscardssmith\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-oscardssmith\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://ericphanson.com/\"><img src=\"https://avatars.githubusercontent.com/u/5846501?v=4?s=50\" width=\"50px;\" alt=\"Eric Hanson\"/><br /><sub><b>Eric Hanson</b></sub></a><br /><a href=\"#ideas-ericphanson\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-ericphanson\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"#userTesting-ericphanson\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/henriquebecker91\"><img src=\"https://avatars.githubusercontent.com/u/14113435?v=4?s=50\" width=\"50px;\" alt=\"Henrique Becker\"/><br /><sub><b>Henrique Becker</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/commits?author=henriquebecker91\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-henriquebecker91\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"https://github.com/MilesCranmer/PySR/pulls?q=is%3Apr+reviewed-by%3Ahenriquebecker91\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/qwertyjl\"><img src=\"https://avatars.githubusercontent.com/u/110912592?v=4?s=50\" width=\"50px;\" alt=\"qwertyjl\"/><br /><sub><b>qwertyjl</b></sub></a><br /><a href=\"https://github.com/MilesCranmer/PySR/issues?q=author%3Aqwertyjl\" title=\"Bug reports\">\ud83d\udc1b</a> <a href=\"https://github.com/MilesCranmer/PySR/commits?author=qwertyjl\" title=\"Documentation\">\ud83d\udcd6</a> <a href=\"#ideas-qwertyjl\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#userTesting-qwertyjl\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://huijzer.xyz/\"><img src=\"https://avatars.githubusercontent.com/u/20724914?v=4?s=50\" width=\"50px;\" alt=\"Rik Huijzer\"/><br /><sub><b>Rik Huijzer</b></sub></a><br /><a href=\"#ideas-rikhuijzer\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#infra-rikhuijzer\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">\ud83d\ude87</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/GCaptainNemo\"><img src=\"https://avatars.githubusercontent.com/u/43086239?v=4?s=50\" width=\"50px;\" alt=\"Hongyu Wang\"/><br /><sub><b>Hongyu Wang</b></sub></a><br /><a href=\"#ideas-GCaptainNemo\" title=\"Ideas, planning, and feedback.\">\ud83d\udca1</a> <a href=\"#promotion-GCaptainNemo\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"#research-GCaptainNemo\" title=\"Research\">\ud83d\udd2c</a></td>\n    </tr>\n    <tr>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/ZehaoJin\"><img src=\"https://avatars.githubusercontent.com/u/50961376?v=4?s=50\" width=\"50px;\" alt=\"Zehao Jin\"/><br /><sub><b>Zehao Jin</b></sub></a><br /><a href=\"#research-ZehaoJin\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#promotion-ZehaoJin\" title=\"Promotion\">\ud83d\udce3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/tmengel\"><img src=\"https://avatars.githubusercontent.com/u/38924390?v=4?s=50\" width=\"50px;\" alt=\"Tanner Mengel\"/><br /><sub><b>Tanner Mengel</b></sub></a><br /><a href=\"#research-tmengel\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#promotion-tmengel\" title=\"Promotion\">\ud83d\udce3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/agrundner24\"><img src=\"https://avatars.githubusercontent.com/u/38557656?v=4?s=50\" width=\"50px;\" alt=\"Arthur Grundner\"/><br /><sub><b>Arthur Grundner</b></sub></a><br /><a href=\"#research-agrundner24\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#promotion-agrundner24\" title=\"Promotion\">\ud83d\udce3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://github.com/sjwetzel\"><img src=\"https://avatars.githubusercontent.com/u/24393721?v=4?s=50\" width=\"50px;\" alt=\"sjwetzel\"/><br /><sub><b>sjwetzel</b></sub></a><br /><a href=\"#research-sjwetzel\" title=\"Research\">\ud83d\udd2c</a> <a href=\"#promotion-sjwetzel\" title=\"Promotion\">\ud83d\udce3</a> <a href=\"#userTesting-sjwetzel\" title=\"User Testing\">\ud83d\udcd3</a></td>\n      <td align=\"center\" valign=\"top\" width=\"12.5%\"><a href=\"https://sauravmaheshkar.github.io/\"><img src=\"https://avatars.githubusercontent.com/u/61241031?v=4?s=50\" width=\"50px;\" alt=\"Saurav Maheshkar\"/><br /><sub><b>Saurav Maheshkar</b></sub></a><br /><a href=\"#tool-SauravMaheshkar\" title=\"Tools\">\ud83d\udd27</a></td>\n    </tr>\n  </tbody>\n</table>\n\n<!-- markdownlint-restore -->\n<!-- prettier-ignore-end -->\n\n<!-- ALL-CONTRIBUTORS-LIST:END -->\n",
    "bugtrack_url": null,
    "license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/  TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION  1. Definitions.  \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.  \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.  \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.  \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License.  \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.  \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.  \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).  \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.  \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\"  \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work.  2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form.  3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed.  4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions:  (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and  (b) You must cause any modified files to carry prominent notices stating that You changed the files; and  (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and  (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License.  You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License.  5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions.  6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file.  7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License.  8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages.  9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability.  END OF TERMS AND CONDITIONS  APPENDIX: How to apply the Apache License to your work.  To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets \"[]\" replaced with your own identifying information. (Don't include the brackets!)  The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same \"printed page\" as the copyright notice for easier identification within third-party archives.  Copyright 2020 Miles Cranmer  Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at  http://www.apache.org/licenses/LICENSE-2.0  Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ",
    "summary": "Simple and efficient symbolic regression",
    "version": "0.18.0",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "fb0987919336ab1e69d81e6b2f3f8b9d20827ef986300b646d1358e20959d6f8",
                "md5": "bbbdd9e030ce102087fc64ff32d02a23",
                "sha256": "f6f4f1990edd44fd5435c0b02d1c0963e71089fd3fb9f691e56324c1ab217173"
            },
            "downloads": -1,
            "filename": "pysr-0.18.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "bbbdd9e030ce102087fc64ff32d02a23",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 76648,
            "upload_time": "2024-03-24T04:43:51",
            "upload_time_iso_8601": "2024-03-24T04:43:51.778604Z",
            "url": "https://files.pythonhosted.org/packages/fb/09/87919336ab1e69d81e6b2f3f8b9d20827ef986300b646d1358e20959d6f8/pysr-0.18.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "11222c89660652fd329cf344666e04186de874322829b1858326b6f58f4bd868",
                "md5": "66dff80e84dad1f708da9230fdf2addc",
                "sha256": "b78daca63006ad13a01961c0d3492f2712d162f791c94949373f723ef5d4136d"
            },
            "downloads": -1,
            "filename": "pysr-0.18.0.tar.gz",
            "has_sig": false,
            "md5_digest": "66dff80e84dad1f708da9230fdf2addc",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 2377190,
            "upload_time": "2024-03-24T04:43:55",
            "upload_time_iso_8601": "2024-03-24T04:43:55.064603Z",
            "url": "https://files.pythonhosted.org/packages/11/22/2c89660652fd329cf344666e04186de874322829b1858326b6f58f4bd868/pysr-0.18.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-24 04:43:55",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "pysr"
}
        
Elapsed time: 0.23715s