In [ ]:
    
from sklearn import svm
    
In [ ]:
    
if 'features_train' not in locals() or globals():
    %run ../dev/environment_setup.ipynb
    
In [ ]:
    
features_train_small = features_train[:len(features_train)/100]
labels_train_small = labels_train[:len(labels_train)/100]
    
In [ ]:
    
clf = svm.SVC(kernel='rbf', C=10000.0)
    
In [ ]:
    
train_predict_fulldataset ("Train and Predict Data with Full DataSet")
    
In [ ]:
    
train_predict ("Train and Predict Data with 1% DataSet")