Question

我正在通过这个网站（https://pythonprogramming.net/training-testing-machine-learning-tutorial/）学习，第4部分。这是我的代码（复制，Quandl的小写q在新版本和model_selection中是正确的而不是cross_validation，原因相同）。

import quandl, math
import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn import model_selection
from sklearn import svm
from sklearn.linear_model import LinearRegression

df = quandl.get("WIKI/GOOGL")
print(df.head())
print(df.tail())
df = df[['Adj. Open',  'Adj. High',  'Adj. Low',  'Adj.                             
             Close', 'Adj. Volume']]

df['HL_PCT'] = (df['Adj. High'] - df['Adj. Low']) /         
df['Adj. Close'] * 100.0
df['PCT_change'] = (df['Adj. Close'] - df['Adj. Open']) /         
    df['Adj. Open'] * 100.0
df = df[['Adj. Close', 'HL_PCT', 'PCT_change', 'Adj. 
   Volume']]
print(df.head())
forecast_col = 'Adj. Close'
df.fillna(value=-99999, inplace=True)
forecast_out = int(math.ceil(0.01 * len(df)))
df['label'] = df[forecast_col].shift(-forecast_out)
df.dropna(inplace=True)
X = np.array(df.drop(['label'], 1))
y = np.array(df['label'])
X = preprocessing.scale(X)
y = np.array(df['label'])
X_train, X_test, y_train, y_test =         
    model_selection.train_test_split(X, y, test_size=0.2)

clf = svm.SVR()
clf.fit(X_train, y_train)
confidence = clf.score(X_test, y_test)
print(confidence)

错误是：

Traceback (most recent call last):
  File "C:/Users/PycharmProjects/learn_python_the_hard_way/LEARN.py", line 4, in <module>
    from sklearn import preprocessing
  File "C:\Users\AppData\Local\Programs\Python\Python36-32\lib\site-packages\sklearn\__init__.py", line 57, in <module>
    from .base import clone
  File "C:\Users\AppData\Local\Programs\Python\Python36-32\lib\site-packages\sklearn\base.py", line 10, in <module>
    from scipy import sparse
  File "C:\Users\PycharmProjects\learn_python_the_hard_way\scipy.py", line 1
    from scip
            ^
SyntaxError: invalid syntax

我不知道如何解决这个问题，我们将非常感谢任何帮助！

更新：我创建了scipy.py文件，用于在同一个文件中进行scipy练习，就像我现在正在练习的那样，现在将其删除。错误是：

Traceback (most recent call last):
  File "C:/Users/PycharmProjects/learn_python_the_hard_way/LEARN.py", line 4, in <module>
    from sklearn import preprocessing
  File "C:\Users\AppData\Local\Programs\Python\Python36-32\lib\site-packages\sklearn\__init__.py", line 57, in <module>
    from .base import clone
  File "C:\Users\AppData\Local\Programs\Python\Python36-32\lib\site-packages\sklearn\base.py", line 10, in <module>
    from scipy import sparse
  File "C:\Users\AppData\Local\Programs\Python\Python36-32\lib\site-packages\scipy\__init__.py", line 61, in <module>
    from numpy._distributor_init import NUMPY_MKL  # requires numpy+mkl
ImportError: cannot import name 'NUMPY_MKL'

我检查过，numpy已安装并正常工作！

Answer 1

您在实际的SciPy安装之前找到了一个名为scipy.py的文件（在C：\ Users \ PycharmProjects \ learn_python_the_hard_way中）（可能在您的Python lib目录中）。你需要重命名它。

Answer 2

解决：altought numpy是安装我必须特定安装轮numpy + mkl

Sklearn语法错误？

2 个答案: