from numpy._distributor_init import NUMPY_MKL
import pandas as pd
import numpy as np
import os
from imblearn.combine import SMOTEENN
import matplotlib.pyplot as plt
from sklearn import preprocessing
from sklearn import linear_model
from sklearn.metrics import classification_report
from numpy import loadtxt
import xgboost as xgb
from xgboost import XGBClassifier
这是我的导入代码,我使用的是python3.6和windows7-64bit 的 1。我有导入numpy + mkl的问题 有这样的导入错误 - > ImportError:无法导入名称' NUMPY_MKL'
我已经安装了numpy-1.13.1 + mkl-cp36-cp36m-win_amd64.whl,scipy0.19.1-cp36-cp36m-win_amd64.whl,cmake-3.9.1-win64-x64 我做了什么?
2。我有导入xgboost的问题 像这样的导入错误,我也在
之前安装了xgboostOSError Traceback (most recent call last)
<ipython-input-8-8af05841d919> in <module>()
9 from sklearn.metrics import classification_report
10 from numpy import loadtxt
---> 11 import xgboost as xgb
12 from xgboost import XGBClassifier
13 import xgboost
c:\users\hyuna\miniconda3\lib\site-packages\xgboost\__init__.py in <module>()
9 import os
10
---> 11 from .core import DMatrix, Booster
12 from .training import train, cv
13 from . import rabit # noqa
c:\users\hyuna\miniconda3\lib\site-packages\xgboost\core.py in <module>()
110
111 # load the XGBoost library globally
--> 112 _LIB = _load_lib()
113
114
c:\users\hyuna\miniconda3\lib\site-packages\xgboost\core.py in _load_lib()
104 if len(lib_path) == 0:
105 return None
--> 106 lib = ctypes.cdll.LoadLibrary(lib_path[0])
107 lib.XGBGetLastError.restype = ctypes.c_char_p
108 return lib
c:\users\hyuna\miniconda3\lib\ctypes\__init__.py in LoadLibrary(self, name)
420
421 def LoadLibrary(self, name):
--> 422 return self._dlltype(name)
423
424 cdll = LibraryLoader(CDLL)
c:\users\hyuna\miniconda3\lib\ctypes\__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error)
342
343 if handle is None:
--> 344 self._handle = _dlopen(self._name, mode)
345 else:
346 self._handle = handle
OSError: [WinError 126] 지정된 모듈을 찾을 수 없습니다(specified module could not be found)