我正在一个jupyter笔记本上运行下面的代码。
from sklearn.svm import LinearSVC
svc_model = LinearSVC()
svc_params = {'C':[0.01,0.1, 1, 10, 100, 1000]}
grid_svc = GridSearchCV(estimator=svc_model,param_grid=svc_params,cv=5,n_jobs=-1)
GridSearchCV(cv=5, error_score='raise-deprecating',
estimator=LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True,
intercept_scaling=1, loss='squared_hinge', max_iter=1000,
multi_class='ovr', penalty='l2', random_state=None, tol=0.0001, verbose=0),
fit_params=None, iid='warn', n_jobs=-1,
param_grid={'C': [0.01, 0.1, 1, 10, 100, 1000]},
pre_dispatch='2*n_jobs', refit=True, return_train_score='warn',
scoring=None, verbose=0)
不知道为什么我会犯这个错误,
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/tmp/ipykernel_20717/2022383170.py in <module>
----> 1 GridSearchCV(cv=5, error_score='raise-deprecating',
2 estimator=LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True,
3 intercept_scaling=1, loss='squared_hinge', max_iter=1000,
4 multi_class='ovr', penalty='l2', random_state=None, tol=0.0001,
5 verbose=0),
TypeError: __init__() got an unexpected keyword argument 'fit_params'
有人能帮忙吗?
发布于 2022-01-31 08:20:18
简单的回答是,当前版本的GridSearchCV不采用名为fit_params
的参数。在早期版本中,这可能是一个参数,但我不确定。
这个参数应该做什么?
也没有iid
,所以如果删除fit_params
,可能会出现类似的错误。
https://stackoverflow.com/questions/70921572
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