'scikitoptimize'包中的TypeError

Question

当我使用scikit-optimize0.7.4版优化scikit-learn0.23模型时：

    rf = BayesSearchCV(
        RandomForestClassifier(
            min_samples_leaf=0.01, oob_score=True
        ), {
            'n_estimators': Integer(30, 200),
            'max_depth': Integer(10, 150),
            'min_samples_split': Real(0.05, 0.3),
        }, n_iter=32
    )

当我运行rf.fit时，它会说

  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\space\space.py", line 764, in rvs
    if sp_version < (0, 16):
TypeError: '<' not supported between instances of 'Version' and 'tuple'

但是，当我简单地使用RandomForestClassifier并对其进行拟合时，就不会出现错误。 那么，如何避免这个问题呢？谢谢大家!

完整的回溯如下

Traceback (most recent call last):
  File "C:/Users/cloudy/PyCharmProjects/clixove/BasicML/classifier.py", line 106, in <module>
    rf.fit(clf.data['X_train'], clf.data['Y_train'])
  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\searchcv.py", line 678, in fit
    optim_result = self._step(
  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\searchcv.py", line 552, in _step
    params = optimizer.ask(n_points=n_points)
  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\optimizer\optimizer.py", line 360, in ask
    x = opt.ask()
  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\optimizer\optimizer.py", line 332, in ask
    return self._ask()
  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\optimizer\optimizer.py", line 398, in _ask
    return self.space.rvs(random_state=self.rng)[0]
  File "C:\Users\cloudy\PyCharmProjects\clixove\venv\lib\site-packages\skopt\space\space.py", line 764, in rvs
    if sp_version < (0, 16):
TypeError: '<' not supported between instances of 'Version' and 'tuple'

Answer 1

我已经解决了更改skopt/space/space.py行763-768的问题

 for dim in self.dimensions:
            
            if sp_version < (0, 16):
                columns.append(dim.rvs(n_samples=n_samples))
            else:
                columns.append(dim.rvs(n_samples=n_samples, random_state=rng))

进入

 for dim in self.dimensions:
            
            try:
                columns.append(dim.rvs(n_samples=n_samples, random_state=rng))
            except:
                columns.append(dim.rvs(n_samples=n_samples))

Answer 2

scikit学习的问题>；=0.23已在版本0.8.1中修复

以下是PIP安装：

pip install scikit-optimize==0.8.1

参考：scikit-optimize 0.8.1

Answer 3

如果scikit学习版本对您的问题不重要，您可以通过pip install -U scikit-learn == 0.20.3将scikit学习版本降级为“0.20.3”