title: Pycharm error, numpy has no attribute 'loadtext'
body: <p>I was initially getting an error downloading scipy from pycharm so I followed the steps found <a href="http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy" rel="nofollow noreferrer">here</a> where I downloaded numpy+mkl and scipy. I saw that there were both in my project interpreter on pycharm. But now I am getting the following error:</p>
  
  <pre><code>    Traceback (most recent call last):
    File "C:/Users/Morgan Weiss/PycharmProjects/MachineLearningHW1/HW1.py", line 7, in &lt;module&gt;
      train_data = np.loadtext('C:/Users/Morgan Weiss/Desktop/STA 5635/DataSets/arcene/arcene_train.data')
  AttributeError: module 'numpy' has no attribute 'loadtext'
  </code></pre>
  
  <p>I am not sure how to fix this issue, here is my entire code for sake of completeness:</p>
  
  <pre><code>from sklearn import tree
  import numpy as np
  
  
  # Load Data
  train_data = np.loadtext('C:/Users/Morgan Weiss/Desktop/STA 5635/DataSets/arcene/arcene_train.data')
  train_labels = np.loadtext('C:/Users/Morgan Weiss/Desktop/STA 5635/DataSets/arcene/arcene_train.labels')
  test_data = np.loadtext('C:/Users/Morgan Weiss/Desktop/STA 5635/DataSets/arcene/arcene_test.data')
  test_labels = np.loadtext('C:/Users/Morgan Weiss/Desktop/STA 5635/DataSets/arcene/arcene_test.labels')
  
  # Error
  error_train = []
  error_test = []
  
  # Make decision tree
  for i in range(1,13):
      DT = tree.DecisionTreeClassifier(max_depth = i)
      DT = DT.fit(train_data,train_labels)
      error_train.append(1 - DT.score(train_data,train_labels))
      error_test.append(1 - DT.score(test_data,test_labels))
  
  # Print out depth, training, and testing error
  for i in range(12):
      print(i+1, error_train[i], error_test[i])
  </code></pre>