LinearRegression unknown keyword normalize

[huangtu577]

I just installed the PySINDy library, and it throws an TypeError: LinearRegression.__init__() got an unexpected keyword argument 'normalize' out of the box. The version that conda installed for scikit-learn without any specification is 1.4.2. According to the Changelog from scikit-learn , the normalize keyword has been deprecated since version 1.0 and removed since 1.2. However there is a proposed fix in the above linked changelog.

Reproducing code example:

import pysindy
differentiation_method = ps.FiniteDifference(order=2)
feature_library = ps.PolynomialLibrary(degree=3)
optimizer = ps.STLSQ(threshold=0.2)

Error message:

---

TypeError Traceback (most recent call last) Cell In[15], line 3 1 differentiation_method = ps.FiniteDifference(order=2) 2 feature_library = ps.PolynomialLibrary(degree=3) ----> 3 optimizer = ps.STLSQ(threshold=0.2)

File ~/anaconda3/envs/rebound/lib/python3.10/site-packages/pysindy/optimizers/stlsq.py:105, in STLSQ.init(self, threshold, alpha, max_iter, ridge_kw, normalize, fit_intercept, copy_X, initial_guess) 94 def init( 95 self, 96 threshold=0.1, (...) 103 initial_guess=None, 104 ): --> 105 super(STLSQ, self).init( 106 max_iter=max_iter, 107 normalize=normalize, 108 fit_intercept=fit_intercept, 109 copy_X=copy_X, 110 ) 112 if threshold < 0: 113 raise ValueError("threshold cannot be negative")

File ~/anaconda3/envs/rebound/lib/python3.10/site-packages/pysindy/optimizers/base.py:81, in BaseOptimizer.init(self, max_iter, normalize, fit_intercept, initial_guess, copy_X) 73 def init( 74 self, 75 max_iter=20, (...) 79 copy_X=True, 80 ): ---> 81 super(BaseOptimizer, self).init( 82 fit_intercept=fit_intercept, normalize=normalize, copy_X=copy_X 83 ) 85 if max_iter <= 0: 86 raise ValueError("max_iter must be positive")

TypeError: LinearRegression.init() got an unexpected keyword argument 'normalize'

PySINDy/Python version information:

1.3.0 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]

[Jacob-Stevens-Haas]

Thank you!! This is a great find. I'll get on it soon. Since SINDy.model is a Pipeline, this should be a reasonably easy fix

[ggmirandac]

Hi,

I just wanted to mention that the version that you have on Conda-forge is not up to date, and results on the same issues.

Just that.