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+--- Thread: python code will not interpret (/thread-38397.html)
python code will not interpret - Led_Zeppelin - Oct-07-2022
The following code generates an error when I try to interpret it with python.
svm_c = GridSearchCV(
cv=TimeSeriesSplit(gap=0, max_train_size=None, n_splits=5, test_size=None),
estimator=SGDClassifier(n_jobs=-1, random_stat=21),
n_jobs=-1,
param_grid={"alpha": [0.0001, 0.001, 0.01, 0.1, 1, 10, 100, 1000]},
return_train_score=True,
scoring="f1_macro",
)The error is:TypeError Traceback (most recent call last)
Input In [187], in <cell line: 1>()
1 svm_c = GridSearchCV(
2 cv=TimeSeriesSplit(gap=0, max_train_size=None, n_splits=5, test_size=None),
----> 3 estimator=SGDClassifier(n_jobs=-1, random_stat=21),
4 n_jobs=-1,
5 param_grid={"alpha": [0.0001, 0.001, 0.01, 0.1, 1, 10, 100, 1000]},
6 return_train_score=True,
7 scoring="f1_macro",
8 )
TypeError: SGDClassifier.__init__() got an unexpected keyword argument 'random_stat'I am not sure why. I googled the error, and it claimed that scikit-learn was the problem. I have version 1.1.1. It says that I need version 0.18. I upgraded scikit-learn to 1.1.2 and got the same error when I tried to interpret it.
I should emphasize that I am only running this code snippet. It is part of a larger program, but I am just working it this piece now.
I cannot upgrade scikit-learn to version 0.18. That is impossible.
I used the command
pip install scikit-learn==0.18 --force upgradeand all it did was give a lot of errors. Why is this error that I discussed above happening? I am using
python 3.10.4.
I suspect it has to do with a specific version of scikit-learn.
Respectfully,
Led_Zepplin
RE: python code will not interpret - perfringo - Oct-08-2022
SGDClassifier expects random_state but you gave random_stat