我的Jupyter笔记本的python内核不断消亡。我之前已经成功运行了以下所有代码。目前，存在问题。首先，我将向您展示我能够成功运行的代码块：
import xgboost as xgb
xgtrain = xgb.DMatrix(data = X_train_sub.values, label = Y_train.values) # create dense matrix of training values
xgtest = xgb.DMatrix(data = X_test_sub.values, label = Y_test.values) # create dense matrix of test values
param = {'max_depth':2, 'eta':1, 'silent':1, 'objective':'binary:logistic'} # specify parameters via map
我的数据很小的地方：
X_train_imp_sub.shape
(1365, 18)
但是，我笔记本的内核一直死在这个块上：
xgmodel = xgb.train(param, xgtrain, num_boost_round = 2) # train the model
predictions = xgmodel.predict(xgtest) # make prediction
from sklearn.metrics import accuracy_score
accuracy = accuracy_score(y_true = Y_test,
y_pred = predictions.round(), …我最近卸载了一个很好的Enthought Canopy 32位工作副本并安装了Canopy版本1.1.0(64位).当我尝试使用sklearn来适应模型我的内核崩溃时,我收到以下错误:
The kernel (user Python environment) has terminated with error code 3. This may be due to a bug in your code or in the kernel itself.
Output captured from the kernel process is shown below.
OMP: Error #15: Initializing libiomp5md.dll, but found mk2iomp5md.dll already initialized.
OMP: Hint: This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The …