[BUG]: TypeError: _check_feature_names_in() got an unexpected keyword argument 'generate_names'

[noneaddress]

What happened?

I use anaconda to manage my Python pkgs. But conda install -c conda-forge pysr failed to install pysr because it spent lots of time on solving environment. Thus I installed Julia and pysr with pip in conda prompt.
However, when running demos in Quickstart section of README.md, an error occurred.
TypeError: _check_feature_names_in() got an unexpected keyword argument 'generate_names'

Version

0.15.0

Operating System

Windows

Package Manager

pip

Interface

IPython Terminal

Relevant log output

raceback (most recent call last):
  File "E:/PCprofessional/PyCharm 2022.2.3/plugins/python/helpers/pydev/pydevd.py", line 1496, in _exec
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "E:\PCprofessional\PyCharm 2022.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "F:\MasterDegreeCode\EnDeCoder\symboltest.py", line 17, in <module>
    model.fit(X, y)
  File "E:\CondaFolder\envs\Symbol\lib\site-packages\pysr\sr.py", line 1910, in fit
    X, y, Xresampled, weights, variable_names, X_units, y_units
  File "E:\CondaFolder\envs\Symbol\lib\site-packages\pysr\sr.py", line 1442, in _validate_and_set_fit_params
    self, variable_names, generate_names=False
TypeError: _check_feature_names_in() got an unexpected keyword argument 'generate_names'

Extra Info

Here is the script.

import numpy as np
import pysr
from pysr import PySRRegressor
#%%
X = 2 * np.random.randn(100, 5)
y = 2.5382 * np.cos(X[:, 3]) + X[:, 0] ** 2 - 0.5

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
    loss="loss(prediction, target) = (prediction - target)^2",
    # ^ Custom loss function (julia syntax)
)

model.fit(X, y)

print(model)

---

I created a new anaconda env and installed pysr in it. Both the envs throw the same error. I have run pysr.install() in these two envs before running the script above.
I used Debug in Pycharm and found that function _check_feature_names_in defined in \Lib\site-packages\sklearn\utils\validation.py only has input_features=None.
When generate_names=False in _check_feature_names_in(line 1441 in \Lib\site-packages\pysr\sr.py) is commented, the script runs normally. And I got the following results.

	complexity	loss	score	equation	sympy_format	lambda_format
0	1	37.918518	0.0	4.501644	4.50164400000000	PySRFunction(X=>4.50164400000000)
1	3	2.887665	1.287495688636072	(x0 * x0)	x0**2	PySRFunction(X=>x0**2)
2	5	2.8626113	0.0043569834259625665	(x0 * (x0 * 0.97915745))	0.97915745*x0**2	PySRFunction(X=>0.97915745*x0**2)
3	6	1.1332736	0.9266238145378896	((x0 * x0) + cos(x3))	x0**2 + cos(x3)	PySRFunction(X=>x0**2 + cos(x3))
4	8	0.23931366	0.777545319110213	((x0 * x0) + (cos(x3) * 2.3865998))	x0**2 + 2.3865998*cos(x3)	PySRFunction(X=>x0**2 + 2.3865998*cos(x3))
5	9	0.23632519	0.012566296155662461	((x0 * x0) + (sin(cos(x3)) * 2.7109928))	x0**2 + 2.7109928*sin(cos(x3))	PySRFunction(X=>x0**2 + 2.7109928*sin(cos(x3)))
6	10	2.2233993e-13	27.692022469244964	((x0 * x0) + ((cos(x3) + -0.19699001) * 2.5382))	x0**2 + 2.5382*cos(x3) - 0.500000043382	PySRFunction(X=>x0**2 + 2.5382*cos(x3) - 0.500000043382)
7	12	1.9617641e-13	0.0625965607621989	((x0 * x0) + ((cos(x3) * (2.0843496 * 1.2177418)) + -0.50000006))	x0**2 + 2.53819963373328*cos(x3) - 0.50000006	PySRFunction(X=>x0**2 + 2.53819963373328*cos(x3) - 0.50000006)

I wonder whether there are something wrong with my pkgs or project structures. Looking forward to your reply.

---

Besides, when I add print(model.latex_table(precision=3, include_score=True)) at the end of the above script, an error occurred.
TypeError: latex_table() got an unexpected keyword argument 'include_score'

---

I just started learning programming, and my English is not very proficient. Please forgive me if I have offended or made low-level mistakes.

Best,
Ker

[MilesCranmer]

Thanks very much for the bug report. This looks like the scikit-learn version being installed is out-of-date, so I either need to implement a version requirement, or need to add a fallback method.

[MilesCranmer]

Let me know if you still run into any issues

[noneaddress]

Let me know if you still run into any issues

Hi Miles Cranmer. pysr runs normally after upgrading to 0.15.1 with pip. However, I encountered these warnings .

`UserWarning: `torch` was loaded before the Julia instance started. This may cause a segfault when running `PySRRegressor.fit`. To avoid this, please run `pysr.julia_helpers.init_julia()` *before* importing `torch`. For updates, see https://github.com/pytorch/pytorch/issues/78829
  "`torch` was loaded before the Julia instance started. "`

`E:\CondaFolder\envs\env_one\lib\site-packages\pysr\julia_helpers.py:209: UserWarning: Your system's Python library is static (e.g., conda), so precompilation will be turned off. For a dynamic library, try using `pyenv` and installing with `--enable-shared`: https://github.com/pyenv/pyenv/blob/master/plugins/python-build/README.md#building-with---enable-shared.
  "Your system's Python library is static (e.g., conda), so precompilation will be turned off. For a dynamic library, try using `pyenv` and installing with `--enable-shared`: https://github.com/pyenv/pyenv/blob/master/plugins/python-build/README.md#building-with---enable-shared."`

It provides detailed info, and I am confident to handle these. Thank you for developing pysr and fixing the bug so quickly~

[MilesCranmer]

Cool. Yes, those warnings are unrelated – feel free to address if you desire.