【发布时间】:2019-11-02 02:45:47
【问题描述】:
我正在研究 Jupyter 笔记本。我的代码工作正常,但后来我为其他项目安装了 sklearn,现在我当前的代码停止工作。它突然开始显示“无法导入名称'logsumexp'”错误。
我已经尝试升级 sklearn、scikit-learn 和 statsmodels。有人建议回滚到 scikit 0.18.02 模型会有所帮助,但这也不起作用。我认为这个链接解释了错误'https://docs.scipy.org/doc/scipy-0.19.1/reference/generated/scipy.misc.logsumexp.html'的原因,但我仍然不知道如何解决它。
这些是我当前的版本
scikit-learn 0.21.2
scipy 1.3.0
sklearn 0.0
统计模型 0.9.0
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from statsmodels.tsa.api import ExponentialSmoothing, SimpleExpSmoothing, Holt
import statsmodels.api as sm
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-9-de89bb760177> in <module>
3 import matplotlib.pyplot as plt
4 from matplotlib import cm
----> 5 from statsmodels.tsa.api import ExponentialSmoothing, SimpleExpSmoothing, Holt
6 import statsmodels.api as sm
~/.local/lib/python3.6/site-packages/statsmodels/tsa/api.py in <module>
23 from .statespace.varmax import VARMAX
24 from .statespace.dynamic_factor import DynamicFactor
---> 25 from .regime_switching.markov_regression import MarkovRegression
26 from .regime_switching.markov_autoregression import MarkovAutoregression
27 from .holtwinters import ExponentialSmoothing, SimpleExpSmoothing, Holt
~/.local/lib/python3.6/site-packages/statsmodels/tsa/regime_switching/markov_regression.py in <module>
11 import statsmodels.base.wrapper as wrap
12
---> 13 from statsmodels.tsa.regime_switching import markov_switching
14
15
~/.local/lib/python3.6/site-packages/statsmodels/tsa/regime_switching/markov_switching.py in <module>
13 from statsmodels.compat.collections import OrderedDict
14
---> 15 from scipy.misc import logsumexp
16 from statsmodels.base.data import PandasData
17 import statsmodels.tsa.base.tsa_model as tsbase
ImportError: cannot import name 'logsumexp'
【问题讨论】:
-
尝试将
from scipy.misc import logsumexp改为from scipy.special import logsumexp
标签: ubuntu scikit-learn jupyter-notebook statsmodels sklearn-pandas