from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from urllib.request import urlopen
import numpy as np
import tensorflow as tf
# 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"
def main():
# If the training and test sets aren't stored locally, download them.
if not os.path.exists(IRIS_TRAINING):
raw = urlopen(IRIS_TRAINING_URL).read()
with open(IRIS_TRAINING, "wb") as f:
f.write(raw)
if not os.path.exists(IRIS_TEST):
raw = urlopen(IRIS_TEST_URL).read()
with open(IRIS_TEST, "wb") as f:
f.write(raw)
# 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)
tensorflow load_csv_with_header
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