In [2]:

    

import sys
from class_vis import prettyPicture
from prep_terrain_data import makeTerrainData

import matplotlib.pyplot as plt
import copy
import numpy as np
import pylab as pl


features_train, labels_train, features_test, labels_test = makeTerrainData()


########################## SVM #################################
### we handle the import statement and SVC creation for you here
from sklearn.svm import SVC
clf = SVC(kernel="linear")


#### now your job is to fit the classifier
#### using the training features/labels, and to
#### make a set of predictions on the test data
clf.fit(features_train, labels_train)


#### store your predictions in a list named pred
pred = clf.predict(features_test)




from sklearn.metrics import accuracy_score
acc = accuracy_score(pred, labels_test)

def submitAccuracy():
    return acc


    

    




---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-2-cefd6faeee3a> in <module>()
      1 import sys
----> 2 from class_vis import prettyPicture
      3 from prep_terrain_data import makeTerrainData
      4 
      5 import matplotlib.pyplot as plt

ImportError: No module named class_vis