On the Python DescisionTree module homepage (DecisionTree-1.6.1), they give a piece of example code. Here it is:

dt = DecisionTree( training_datafile = "training.dat", debug1 = 1 )

dt.get_training_data()

dt.show_training_data()

root_node = dt.construct_decision_tree_classifier()

root_node.display_decision_tree(" ")

test_sample = ['exercising=>never', 'smoking=>heavy',
'fatIntake=>heavy', 'videoAddiction=>heavy']
classification = dt.classify(root_node, test_sample)

print "Classification: ", classification

My question is: How can I specify sample data (test_sample here) from variables? On the project homepage, it says: "You classify new data by first constructing a new data vector:" I have searched around but have been unable to find out what a data vector is or the answer to my question.

Any help would be appreciated!