小编Ars*_*lan的帖子

我刚刚在Linux上安装了Anaconda.当试图打开spyder(从导航器或终端),它不起作用.当我尝试在终端中打开它时出现以下错误:

分段故障(核心转储)

我完全更新了Conda,但无法解决问题.我使用的是Conda版本4.5.5和Ubuntu 18.04.任何的想法？

我正在尝试将预先训练的手套作为 word2vec 模型加载到 gensim 中。我已经从这里下载了手套文件。我正在使用以下脚本：

from gensim import models
model = models.KeyedVectors.load_word2vec_format('glove.6B.300d.txt', binary=True)

但出现以下错误

ValueError                                Traceback (most recent call last)
<ipython-input-38-e0b48b51f433> in <module>()
      1 from gensim import models
----> 2 model = models.KeyedVectors.load_word2vec_format('glove.6B.300d.txt', binary=True)

2 frames
/usr/local/lib/python3.6/dist-packages/gensim/models/utils_any2vec.py in <genexpr>(.0)
    171     with utils.smart_open(fname) as fin:
    172         header = utils.to_unicode(fin.readline(), encoding=encoding)
--> 173         vocab_size, vector_size = (int(x) for x in header.split())  # throws for invalid file format
    174         if limit:
    175             vocab_size = min(vocab_size, limit)

ValueError: invalid literal for int() …

下面是我的代码：

tuned_parameters = [
    {'kernel': ['linear], 'C':[1, 10], 'class_weight': ['auto']}, {'kernel': ['rbf'], 'C':[1,10], 'class_weight':['auto']}]
clf = GridSearchCV(svm.SVC(), tuned_parameters, cv=5, scoring='accuracy')
clf.fit(x_train,y_train)

但我收到以下错误：

Traceback (most recent call last):
  File "/home/arajabi/PycharmProjects/Muffin/classification.py", line 77, in <module>
    clf3.fit(x_train, y_train)
  File "/home/arajabi/anaconda3/lib/python3.5/site-packages/sklearn/model_selection/_search.py", line 639, in fit
    cv.split(X, y, groups)))
  File "/home/arajabi/anaconda3/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 779, in __call__
    while self.dispatch_one_batch(iterator):
  File "/home/arajabi/anaconda3/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 625, in dispatch_one_batch
    self._dispatch(tasks)
  File "/home/arajabi/anaconda3/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 588, in _dispatch
    job = self._backend.apply_async(batch, callback=cb)
  File "/home/arajabi/anaconda3/lib/python3.5/site-packages/sklearn/externals/joblib/_parallel_backends.py", line 111, in apply_async
    result = ImmediateResult(func)
  File "/home/arajabi/anaconda3/lib/python3.5/site-packages/sklearn/externals/joblib/_parallel_backends.py", …