Where is target specified in tensorflow's load_csv function

Question

I'm trying to follow along this tensorflow tutorial which uses a load_csv function. TUTORIAL_LINK

One of two lines in question is:

IRIS_TEST = "iris_test.csv"
test_set = tf.contrib.learn.datasets.base.load_csv(
                                                   filename=IRIS_TEST,
                                                   target_dtype=np.int
                                                  )

Where "iris_test.csv" looks like:

30,4,setosa,versicolor,virginica
5.9,3.0,4.2,1.5,1
6.9,3.1,5.4,2.1,2
5.1,3.3,1.7,0.5,0
6.0,3.4,4.5,1.6,1
5.5,2.5,4.0,1.3,1
6.2,2.9,4.3,1.3,1
5.5,4.2,1.4,0.2,0
6.3,2.8,5.1,1.5,2
5.6,3.0,4.1,1.3,1
6.7,2.5,5.8,1.8,2
7.1,3.0,5.9,2.1,2
4.3,3.0,1.1,0.1,0

I'm pretty sure the target of the machine learning exercise is the verginica column but I've no idea how it's specified as such.

Is it implied as the last column?

Answer 1

From the code:

def load_csv(filename, target_dtype, target_column=-1, has_header=True):
  """Load dataset from CSV file."""

default for target_column is -1. So, last column, good to know.