Tensorflow version : 0.11

Tutorial :- https://www.tensorflow.org/versions/r0.11/tutorials/tflearn/

To download the Iris data set add following code to the above tutorial,

# Data sets
IRIS_TRAINING = "iris_training.csv"
IRIS_TRAINING_URL = "http://download.tensorflow.org/data/iris_training.csv"

IRIS_TEST = "iris_test.csv"
IRIS_TEST_URL = "http://download.tensorflow.org/data/iris_test.csv"

if not os.path.exists(IRIS_TRAINING):
  raw = urllib.urlopen(IRIS_TRAINING_URL).read()
  with open(IRIS_TRAINING, "w") as f:
    f.write(raw)

if not os.path.exists(IRIS_TEST):
  raw = urllib.urlopen(IRIS_TEST_URL).read()
  with open(IRIS_TEST, "w") as f:
    f.write(raw)

Above code will download the iris data set.

When running the tutorial code, we will face following issue,

Traceback (most recent call last):
  File "test.py", line 13, in <module>
    training_set = tf.contrib.learn.datasets.base.load_csv(filename=IRIS_TRAINING,
AttributeError: 'module' object has no attribute 'load_csv'

This is because load_csv has been changed to load_csv_with_header.

Replace code,

# Load datasets.
training_set = tf.contrib.learn.datasets.base.load_csv(filename=IRIS_TRAINING,
                                                       target_dtype=np.int)
test_set = tf.contrib.learn.datasets.base.load_csv(filename=IRIS_TEST,
                                                   target_dtype=np.int)

with

  # Load datasets.
  training_set = tf.contrib.learn.datasets.base.load_csv_with_header(
      filename=IRIS_TRAINING,
      target_dtype=np.int,
      features_dtype=np.float32)
  test_set = tf.contrib.learn.datasets.base.load_csv_with_header(
      filename=IRIS_TEST,
      target_dtype=np.int,
      features_dtype=np.float32)

Note: Indentation might not be correct in this post.