Add script to generate and print boston housing dataset

data/boston_housing/generate_csv_tfrecords.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python
+
+import tensorflow as tf
+import os
+
+
+def generate_tfrecords(input_filename, output_filename):
+  print("Start to convert {} to {}".format(input_filename, output_filename))
+  writer = tf.python_io.TFRecordWriter(output_filename)
+
+  index = 0
+  for line in open(input_filename, "r"):
+    index += 1
+
+    # Ignore the first line
+    if index == 1:
+      continue
+
+    data = line.split(",")
+    label = float(data[14])
+    features = [float(i) for i in data[1:14]]
+
+    example = tf.train.Example(features=tf.train.Features(feature={
+        "label":
+        tf.train.Feature(float_list=tf.train.FloatList(value=[label])),
+        "features":
+        tf.train.Feature(float_list=tf.train.FloatList(value=features)),
+    }))
+    writer.write(example.SerializeToString())
+
+  writer.close()
+  print("Successfully convert {} to {}".format(input_filename,
+                                               output_filename))
+
+
+def main():
+  current_path = os.getcwd()
+  for filename in os.listdir(current_path):
+    if filename.startswith("") and filename.endswith(".csv"):
+      generate_tfrecords(filename, filename + ".tfrecords")
+
+
+if __name__ == "__main__":
+  main()

data/boston_housing/print_csv_tfrecords.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python
+
+import tensorflow as tf
+import os
+
+
+def print_tfrecords(input_filename):
+  max_print_number = 100
+  current_print_number = 0
+
+  for serialized_example in tf.python_io.tf_record_iterator(input_filename):
+    # Get serialized example from file
+    example = tf.train.Example()
+    example.ParseFromString(serialized_example)
+    label = example.features.feature["label"].float_list.value
+    features = example.features.feature["features"].float_list.value
+    print("Number: {}, label: {}, features: {}".format(current_print_number,
+                                                       label, features))
+
+    # Return when reaching max print number
+    current_print_number += 1
+    if current_print_number > max_print_number:
+      exit()
+
+
+def main():
+  current_path = os.getcwd()
+  tfrecords_file_name = "train.csv.tfrecords"
+  input_filename = os.path.join(current_path, tfrecords_file_name)
+  print_tfrecords(input_filename)
+
+
+if __name__ == "__main__":
+  main()